Overview

Dataset statistics

Number of variables271
Number of observations18370
Missing cells0
Missing cells (%)0.0%
Total size in memory38.0 MiB
Average record size in memory2.1 KiB

Variable types

Numeric270
Categorical1

Alerts

TS_61 has 191 (1.0%) zerosZeros
TS_79 has 186 (1.0%) zerosZeros
TS_104 has 184 (1.0%) zerosZeros
TS_106 has 191 (1.0%) zerosZeros
TS_111 has 194 (1.1%) zerosZeros
TS_123 has 188 (1.0%) zerosZeros
TS_125 has 199 (1.1%) zerosZeros
TS_129 has 189 (1.0%) zerosZeros
TS_134 has 185 (1.0%) zerosZeros
TS_135 has 190 (1.0%) zerosZeros
TS_144 has 185 (1.0%) zerosZeros
TS_161 has 192 (1.0%) zerosZeros
TS_173 has 202 (1.1%) zerosZeros
TS_176 has 196 (1.1%) zerosZeros
TS_189 has 184 (1.0%) zerosZeros
TS_191 has 199 (1.1%) zerosZeros
TS_194 has 186 (1.0%) zerosZeros
TS_198 has 190 (1.0%) zerosZeros
TS_199 has 194 (1.1%) zerosZeros
TS_205 has 204 (1.1%) zerosZeros
TS_226 has 197 (1.1%) zerosZeros
TS_235 has 189 (1.0%) zerosZeros
TS_238 has 190 (1.0%) zerosZeros
TS_251 has 185 (1.0%) zerosZeros
TS_255 has 194 (1.1%) zerosZeros
TS_256 has 195 (1.1%) zerosZeros
TS_258 has 202 (1.1%) zerosZeros
TS_263 has 192 (1.0%) zerosZeros

Reproduction

Analysis started2023-01-04 18:06:15.355334
Analysis finished2023-01-04 18:06:20.145876
Duration4.79 seconds
Software versionpandas-profiling vv3.6.2
Download configurationconfig.json

Variables

TS_0
Real number (ℝ)

Distinct1766
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.460424605
Minimum-3614
Maximum3344
Zeros159
Zeros (%)0.9%
Negative9750
Negative (%)53.1%
Memory size143.6 KiB
2023-01-04T23:36:20.729669image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3614
5-th percentile-338
Q1-71
median-8
Q372
95-th percentile423
Maximum3344
Range6958
Interquartile range (IQR)143

Descriptive statistics

Standard deviation272.3348303
Coefficient of variation (CV)42.15432373
Kurtosis19.89459684
Mean6.460424605
Median Absolute Deviation (MAD)69
Skewness0.1139281949
Sum118678
Variance74166.25977
MonotonicityNot monotonic
2023-01-04T23:36:21.033262image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 159
 
0.9%
-13 105
 
0.6%
-16 102
 
0.6%
-22 98
 
0.5%
-10 97
 
0.5%
-19 97
 
0.5%
-23 96
 
0.5%
-21 94
 
0.5%
-26 93
 
0.5%
-37 92
 
0.5%
Other values (1756) 17337
94.4%
ValueCountFrequency (%)
-3614 1
< 0.1%
-3030 1
< 0.1%
-2586 1
< 0.1%
-2569 1
< 0.1%
-2551 1
< 0.1%
ValueCountFrequency (%)
3344 1
< 0.1%
3328 1
< 0.1%
2993 1
< 0.1%
2890 1
< 0.1%
2859 1
< 0.1%

TS_1
Real number (ℝ)

Distinct2326
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.024823081
Minimum-6466
Maximum5514
Zeros140
Zeros (%)0.8%
Negative9811
Negative (%)53.4%
Memory size143.6 KiB
2023-01-04T23:36:21.343650image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6466
5-th percentile-535
Q1-79
median-9
Q382
95-th percentile608
Maximum5514
Range11980
Interquartile range (IQR)161

Descriptive statistics

Standard deviation420.4954525
Coefficient of variation (CV)83.68363337
Kurtosis25.51566105
Mean5.024823081
Median Absolute Deviation (MAD)79
Skewness-0.1056353155
Sum92306
Variance176816.4255
MonotonicityNot monotonic
2023-01-04T23:36:21.705802image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 140
 
0.8%
-27 98
 
0.5%
-1 97
 
0.5%
-13 93
 
0.5%
-35 91
 
0.5%
-30 90
 
0.5%
-15 87
 
0.5%
-29 87
 
0.5%
-31 86
 
0.5%
-42 85
 
0.5%
Other values (2316) 17416
94.8%
ValueCountFrequency (%)
-6466 1
< 0.1%
-4810 1
< 0.1%
-4788 1
< 0.1%
-4057 1
< 0.1%
-3984 1
< 0.1%
ValueCountFrequency (%)
5514 1
< 0.1%
5366 1
< 0.1%
5091 1
< 0.1%
4424 1
< 0.1%
4333 1
< 0.1%

TS_2
Real number (ℝ)

Distinct2251
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.541698421
Minimum-5019
Maximum6134
Zeros142
Zeros (%)0.8%
Negative9754
Negative (%)53.1%
Memory size143.6 KiB
2023-01-04T23:36:22.026802image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5019
5-th percentile-512
Q1-79
median-9
Q382
95-th percentile580
Maximum6134
Range11153
Interquartile range (IQR)161

Descriptive statistics

Standard deviation402.28483
Coefficient of variation (CV)88.57585703
Kurtosis26.16803948
Mean4.541698421
Median Absolute Deviation (MAD)79
Skewness-0.0908057515
Sum83431
Variance161833.0845
MonotonicityNot monotonic
2023-01-04T23:36:22.335434image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 142
 
0.8%
-30 94
 
0.5%
-19 92
 
0.5%
-29 85
 
0.5%
-22 85
 
0.5%
-32 85
 
0.5%
-11 84
 
0.5%
-23 84
 
0.5%
-28 84
 
0.5%
-21 83
 
0.5%
Other values (2241) 17452
95.0%
ValueCountFrequency (%)
-5019 1
< 0.1%
-4686 1
< 0.1%
-4523 1
< 0.1%
-4251 1
< 0.1%
-4101 1
< 0.1%
ValueCountFrequency (%)
6134 1
< 0.1%
5221 1
< 0.1%
5189 1
< 0.1%
4648 1
< 0.1%
4605 1
< 0.1%

TS_3
Real number (ℝ)

Distinct2174
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.391888949
Minimum-4764
Maximum6305
Zeros153
Zeros (%)0.8%
Negative9836
Negative (%)53.5%
Memory size143.6 KiB
2023-01-04T23:36:22.647319image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4764
5-th percentile-478
Q1-79
median-9
Q380
95-th percentile581
Maximum6305
Range11069
Interquartile range (IQR)159

Descriptive statistics

Standard deviation386.7468534
Coefficient of variation (CV)60.50587807
Kurtosis27.45058032
Mean6.391888949
Median Absolute Deviation (MAD)78
Skewness0.2465539891
Sum117419
Variance149573.1286
MonotonicityNot monotonic
2023-01-04T23:36:22.935694image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153
 
0.8%
-28 90
 
0.5%
-14 88
 
0.5%
-18 88
 
0.5%
-34 86
 
0.5%
-27 84
 
0.5%
-55 84
 
0.5%
7 82
 
0.4%
-4 81
 
0.4%
-32 80
 
0.4%
Other values (2164) 17454
95.0%
ValueCountFrequency (%)
-4764 1
< 0.1%
-4239 1
< 0.1%
-3947 1
< 0.1%
-3926 1
< 0.1%
-3897 1
< 0.1%
ValueCountFrequency (%)
6305 1
< 0.1%
5566 1
< 0.1%
5003 1
< 0.1%
4408 1
< 0.1%
4185 1
< 0.1%

TS_4
Real number (ℝ)

Distinct2154
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.158356015
Minimum-5952
Maximum6479
Zeros131
Zeros (%)0.7%
Negative9924
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:36:23.236221image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5952
5-th percentile-468
Q1-79
median-11
Q380
95-th percentile559
Maximum6479
Range12431
Interquartile range (IQR)159

Descriptive statistics

Standard deviation378.0258533
Coefficient of variation (CV)61.38421559
Kurtosis30.91912642
Mean6.158356015
Median Absolute Deviation (MAD)78
Skewness-0.1223560142
Sum113129
Variance142903.5458
MonotonicityNot monotonic
2023-01-04T23:36:23.523154image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 131
 
0.7%
-14 93
 
0.5%
-19 92
 
0.5%
-38 91
 
0.5%
-24 91
 
0.5%
-11 90
 
0.5%
-29 89
 
0.5%
-9 88
 
0.5%
-56 87
 
0.5%
-21 84
 
0.5%
Other values (2144) 17434
94.9%
ValueCountFrequency (%)
-5952 1
< 0.1%
-5222 1
< 0.1%
-4245 1
< 0.1%
-4056 1
< 0.1%
-3905 1
< 0.1%
ValueCountFrequency (%)
6479 1
< 0.1%
5114 1
< 0.1%
4736 1
< 0.1%
4485 1
< 0.1%
4201 1
< 0.1%

TS_5
Real number (ℝ)

Distinct2080
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.750136091
Minimum-6422
Maximum5658
Zeros111
Zeros (%)0.6%
Negative9907
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:36:23.831184image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6422
5-th percentile-444
Q1-77
median-10
Q379
95-th percentile538
Maximum5658
Range12080
Interquartile range (IQR)156

Descriptive statistics

Standard deviation364.7955909
Coefficient of variation (CV)63.44120993
Kurtosis35.14998407
Mean5.750136091
Median Absolute Deviation (MAD)76
Skewness-0.1990301555
Sum105630
Variance133075.8231
MonotonicityNot monotonic
2023-01-04T23:36:24.132243image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
 
0.6%
-30 98
 
0.5%
-46 95
 
0.5%
-22 94
 
0.5%
-24 92
 
0.5%
-12 89
 
0.5%
-21 89
 
0.5%
-15 89
 
0.5%
-44 87
 
0.5%
-29 84
 
0.5%
Other values (2070) 17442
94.9%
ValueCountFrequency (%)
-6422 1
< 0.1%
-5925 1
< 0.1%
-4405 1
< 0.1%
-3698 1
< 0.1%
-3666 1
< 0.1%
ValueCountFrequency (%)
5658 1
< 0.1%
5382 1
< 0.1%
4685 1
< 0.1%
4379 1
< 0.1%
4194 1
< 0.1%

TS_6
Real number (ℝ)

Distinct2021
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.165106151
Minimum-5255
Maximum5728
Zeros147
Zeros (%)0.8%
Negative9887
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:36:24.450561image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5255
5-th percentile-441.55
Q1-77
median-10
Q377
95-th percentile507
Maximum5728
Range10983
Interquartile range (IQR)154

Descriptive statistics

Standard deviation347.3486643
Coefficient of variation (CV)83.3949128
Kurtosis35.5660454
Mean4.165106151
Median Absolute Deviation (MAD)76
Skewness0.06437834694
Sum76513
Variance120651.0946
MonotonicityNot monotonic
2023-01-04T23:36:24.756015image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147
 
0.8%
-26 94
 
0.5%
-39 91
 
0.5%
-7 91
 
0.5%
-11 91
 
0.5%
-24 90
 
0.5%
-25 88
 
0.5%
-31 88
 
0.5%
-38 87
 
0.5%
-3 87
 
0.5%
Other values (2011) 17416
94.8%
ValueCountFrequency (%)
-5255 1
< 0.1%
-5078 1
< 0.1%
-4777 1
< 0.1%
-4492 1
< 0.1%
-4466 1
< 0.1%
ValueCountFrequency (%)
5728 1
< 0.1%
5158 1
< 0.1%
4995 1
< 0.1%
4561 1
< 0.1%
4175 1
< 0.1%

TS_7
Real number (ℝ)

Distinct1979
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.910996189
Minimum-6984
Maximum5847
Zeros158
Zeros (%)0.9%
Negative9876
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:36:25.144655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6984
5-th percentile-424
Q1-75
median-10
Q373
95-th percentile491
Maximum5847
Range12831
Interquartile range (IQR)148

Descriptive statistics

Standard deviation343.0276044
Coefficient of variation (CV)87.70849875
Kurtosis39.11775078
Mean3.910996189
Median Absolute Deviation (MAD)73
Skewness0.1118458182
Sum71845
Variance117667.9374
MonotonicityNot monotonic
2023-01-04T23:36:25.450333image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
0.9%
-14 92
 
0.5%
-4 90
 
0.5%
-18 90
 
0.5%
-29 89
 
0.5%
-16 89
 
0.5%
-25 88
 
0.5%
-11 88
 
0.5%
-21 87
 
0.5%
-19 86
 
0.5%
Other values (1969) 17413
94.8%
ValueCountFrequency (%)
-6984 1
< 0.1%
-4069 1
< 0.1%
-3809 1
< 0.1%
-3752 1
< 0.1%
-3689 1
< 0.1%
ValueCountFrequency (%)
5847 1
< 0.1%
5575 1
< 0.1%
4409 1
< 0.1%
4205 1
< 0.1%
3915 1
< 0.1%

TS_8
Real number (ℝ)

Distinct1912
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.444529124
Minimum-4687
Maximum6070
Zeros129
Zeros (%)0.7%
Negative9789
Negative (%)53.3%
Memory size143.6 KiB
2023-01-04T23:36:25.767330image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4687
5-th percentile-409
Q1-75
median-9
Q373
95-th percentile462
Maximum6070
Range10757
Interquartile range (IQR)148

Descriptive statistics

Standard deviation337.4688586
Coefficient of variation (CV)97.97242135
Kurtosis41.81830794
Mean3.444529124
Median Absolute Deviation (MAD)73
Skewness0.1596660367
Sum63276
Variance113885.2306
MonotonicityNot monotonic
2023-01-04T23:36:26.074452image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
 
0.7%
-43 94
 
0.5%
-16 92
 
0.5%
-15 91
 
0.5%
-42 91
 
0.5%
-33 90
 
0.5%
-26 89
 
0.5%
-22 86
 
0.5%
4 86
 
0.5%
-21 85
 
0.5%
Other values (1902) 17437
94.9%
ValueCountFrequency (%)
-4687 1
< 0.1%
-4657 1
< 0.1%
-4639 1
< 0.1%
-4220 1
< 0.1%
-3997 1
< 0.1%
ValueCountFrequency (%)
6070 1
< 0.1%
5805 1
< 0.1%
5624 1
< 0.1%
3978 1
< 0.1%
3742 1
< 0.1%

TS_9
Real number (ℝ)

Distinct1886
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.132280893
Minimum-5096
Maximum5308
Zeros167
Zeros (%)0.9%
Negative9745
Negative (%)53.0%
Memory size143.6 KiB
2023-01-04T23:36:26.390607image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5096
5-th percentile-392
Q1-75
median-8
Q370.75
95-th percentile438
Maximum5308
Range10404
Interquartile range (IQR)145.75

Descriptive statistics

Standard deviation324.7807271
Coefficient of variation (CV)103.6882509
Kurtosis36.04536733
Mean3.132280893
Median Absolute Deviation (MAD)71
Skewness0.06426660065
Sum57540
Variance105482.5207
MonotonicityNot monotonic
2023-01-04T23:36:26.672828image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
0.9%
-24 98
 
0.5%
-6 88
 
0.5%
-28 86
 
0.5%
-26 86
 
0.5%
-44 85
 
0.5%
-31 85
 
0.5%
-8 85
 
0.5%
-15 85
 
0.5%
-42 83
 
0.5%
Other values (1876) 17422
94.8%
ValueCountFrequency (%)
-5096 1
< 0.1%
-4525 1
< 0.1%
-4322 1
< 0.1%
-4057 1
< 0.1%
-3823 1
< 0.1%
ValueCountFrequency (%)
5308 1
< 0.1%
5128 1
< 0.1%
4035 1
< 0.1%
3701 1
< 0.1%
3633 1
< 0.1%

TS_10
Real number (ℝ)

Distinct1844
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.321121394
Minimum-4715
Maximum4989
Zeros145
Zeros (%)0.8%
Negative9744
Negative (%)53.0%
Memory size143.6 KiB
2023-01-04T23:36:26.973882image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4715
5-th percentile-368
Q1-74
median-8
Q374
95-th percentile424.55
Maximum4989
Range9704
Interquartile range (IQR)148

Descriptive statistics

Standard deviation315.0767469
Coefficient of variation (CV)49.84507136
Kurtosis38.83229191
Mean6.321121394
Median Absolute Deviation (MAD)73
Skewness0.5625611386
Sum116119
Variance99273.35645
MonotonicityNot monotonic
2023-01-04T23:36:27.264075image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145
 
0.8%
-13 92
 
0.5%
-29 92
 
0.5%
-17 89
 
0.5%
-32 89
 
0.5%
-23 89
 
0.5%
-9 89
 
0.5%
-8 88
 
0.5%
-44 86
 
0.5%
7 85
 
0.5%
Other values (1834) 17426
94.9%
ValueCountFrequency (%)
-4715 1
< 0.1%
-4559 1
< 0.1%
-4397 1
< 0.1%
-3760 1
< 0.1%
-3551 1
< 0.1%
ValueCountFrequency (%)
4989 1
< 0.1%
4463 1
< 0.1%
4452 1
< 0.1%
4272 1
< 0.1%
4125 1
< 0.1%

TS_11
Real number (ℝ)

Distinct1812
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.430266739
Minimum-5053
Maximum5997
Zeros159
Zeros (%)0.9%
Negative9764
Negative (%)53.2%
Memory size143.6 KiB
2023-01-04T23:36:27.598418image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5053
5-th percentile-350.55
Q1-74
median-9
Q374
95-th percentile415
Maximum5997
Range11050
Interquartile range (IQR)148

Descriptive statistics

Standard deviation325.2184374
Coefficient of variation (CV)50.576197
Kurtosis56.17592334
Mean6.430266739
Median Absolute Deviation (MAD)73
Skewness0.2896924716
Sum118124
Variance105767.032
MonotonicityNot monotonic
2023-01-04T23:36:27.889438image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 159
 
0.9%
-14 94
 
0.5%
-10 93
 
0.5%
-30 92
 
0.5%
-31 90
 
0.5%
-36 89
 
0.5%
-22 89
 
0.5%
-6 88
 
0.5%
-20 88
 
0.5%
-27 87
 
0.5%
Other values (1802) 17401
94.7%
ValueCountFrequency (%)
-5053 1
< 0.1%
-5037 1
< 0.1%
-4950 1
< 0.1%
-4797 1
< 0.1%
-4514 1
< 0.1%
ValueCountFrequency (%)
5997 1
< 0.1%
5661 1
< 0.1%
4507 1
< 0.1%
4490 1
< 0.1%
4453 1
< 0.1%

TS_12
Real number (ℝ)

Distinct1761
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.109853021
Minimum-5917
Maximum5979
Zeros151
Zeros (%)0.8%
Negative9851
Negative (%)53.6%
Memory size143.6 KiB
2023-01-04T23:36:28.175376image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5917
5-th percentile-329
Q1-73
median-9
Q373
95-th percentile395
Maximum5979
Range11896
Interquartile range (IQR)146

Descriptive statistics

Standard deviation314.4463634
Coefficient of variation (CV)44.22684442
Kurtosis55.80113514
Mean7.109853021
Median Absolute Deviation (MAD)72
Skewness0.1319633135
Sum130608
Variance98876.51545
MonotonicityNot monotonic
2023-01-04T23:36:28.564306image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151
 
0.8%
-14 95
 
0.5%
-35 95
 
0.5%
-13 95
 
0.5%
-33 93
 
0.5%
-30 93
 
0.5%
-24 92
 
0.5%
-11 89
 
0.5%
-44 89
 
0.5%
-7 89
 
0.5%
Other values (1751) 17389
94.7%
ValueCountFrequency (%)
-5917 1
< 0.1%
-4722 1
< 0.1%
-4586 1
< 0.1%
-4487 1
< 0.1%
-3874 1
< 0.1%
ValueCountFrequency (%)
5979 1
< 0.1%
5523 1
< 0.1%
4265 1
< 0.1%
4123 1
< 0.1%
4058 1
< 0.1%

TS_13
Real number (ℝ)

Distinct1765
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.537397931
Minimum-4603
Maximum5431
Zeros148
Zeros (%)0.8%
Negative9815
Negative (%)53.4%
Memory size143.6 KiB
2023-01-04T23:36:28.889769image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4603
5-th percentile-319
Q1-71
median-9
Q373
95-th percentile385.55
Maximum5431
Range10034
Interquartile range (IQR)144

Descriptive statistics

Standard deviation302.2927132
Coefficient of variation (CV)40.10571234
Kurtosis44.50417523
Mean7.537397931
Median Absolute Deviation (MAD)70
Skewness0.521234021
Sum138462
Variance91380.88447
MonotonicityNot monotonic
2023-01-04T23:36:29.171971image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148
 
0.8%
-26 98
 
0.5%
-9 95
 
0.5%
-43 93
 
0.5%
-24 91
 
0.5%
-31 91
 
0.5%
-23 90
 
0.5%
-13 90
 
0.5%
-7 89
 
0.5%
-22 89
 
0.5%
Other values (1755) 17396
94.7%
ValueCountFrequency (%)
-4603 1
< 0.1%
-4027 1
< 0.1%
-3896 1
< 0.1%
-3867 1
< 0.1%
-3548 1
< 0.1%
ValueCountFrequency (%)
5431 1
< 0.1%
5213 1
< 0.1%
3905 1
< 0.1%
3859 1
< 0.1%
3837 1
< 0.1%

TS_14
Real number (ℝ)

Distinct1727
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.421665759
Minimum-7184
Maximum5334
Zeros118
Zeros (%)0.6%
Negative9844
Negative (%)53.6%
Memory size143.6 KiB
2023-01-04T23:36:29.458227image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7184
5-th percentile-308
Q1-72
median-10
Q371
95-th percentile369
Maximum5334
Range12518
Interquartile range (IQR)143

Descriptive statistics

Standard deviation306.4295867
Coefficient of variation (CV)69.3018431
Kurtosis66.78815203
Mean4.421665759
Median Absolute Deviation (MAD)70
Skewness-1.169329484
Sum81226
Variance93899.09161
MonotonicityNot monotonic
2023-01-04T23:36:29.775236image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 118
 
0.6%
-22 101
 
0.5%
-13 98
 
0.5%
-42 97
 
0.5%
-10 94
 
0.5%
-14 91
 
0.5%
-25 91
 
0.5%
-36 88
 
0.5%
-20 88
 
0.5%
-11 87
 
0.5%
Other values (1717) 17417
94.8%
ValueCountFrequency (%)
-7184 1
< 0.1%
-5676 1
< 0.1%
-5247 1
< 0.1%
-4282 1
< 0.1%
-4098 1
< 0.1%
ValueCountFrequency (%)
5334 1
< 0.1%
5115 1
< 0.1%
3946 1
< 0.1%
3373 1
< 0.1%
3186 1
< 0.1%

TS_15
Real number (ℝ)

Distinct1720
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.091507893
Minimum-6285
Maximum6499
Zeros160
Zeros (%)0.9%
Negative9906
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:36:30.093430image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6285
5-th percentile-293
Q1-72
median-10
Q369
95-th percentile361.55
Maximum6499
Range12784
Interquartile range (IQR)141

Descriptive statistics

Standard deviation307.6628661
Coefficient of variation (CV)50.50684847
Kurtosis76.28361052
Mean6.091507893
Median Absolute Deviation (MAD)70
Skewness-0.2112480008
Sum111901
Variance94656.43917
MonotonicityNot monotonic
2023-01-04T23:36:30.427541image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-25 103
 
0.6%
-30 95
 
0.5%
-13 91
 
0.5%
-16 90
 
0.5%
-41 89
 
0.5%
-12 87
 
0.5%
-37 87
 
0.5%
-40 87
 
0.5%
-20 86
 
0.5%
Other values (1710) 17395
94.7%
ValueCountFrequency (%)
-6285 1
< 0.1%
-5645 1
< 0.1%
-5134 1
< 0.1%
-4832 1
< 0.1%
-4751 1
< 0.1%
ValueCountFrequency (%)
6499 1
< 0.1%
6318 1
< 0.1%
4819 1
< 0.1%
4451 1
< 0.1%
3775 1
< 0.1%

TS_16
Real number (ℝ)

Distinct1680
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.064126293
Minimum-5256
Maximum5928
Zeros135
Zeros (%)0.7%
Negative9891
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:36:30.754741image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5256
5-th percentile-277.55
Q1-71
median-10
Q367
95-th percentile354.55
Maximum5928
Range11184
Interquartile range (IQR)138

Descriptive statistics

Standard deviation299.5953393
Coefficient of variation (CV)42.41081301
Kurtosis61.01750622
Mean7.064126293
Median Absolute Deviation (MAD)68
Skewness0.7697661839
Sum129768
Variance89757.36733
MonotonicityNot monotonic
2023-01-04T23:36:31.038625image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135
 
0.7%
-15 97
 
0.5%
-34 96
 
0.5%
-4 95
 
0.5%
7 95
 
0.5%
-23 93
 
0.5%
-36 90
 
0.5%
-17 90
 
0.5%
-25 89
 
0.5%
-11 88
 
0.5%
Other values (1670) 17402
94.7%
ValueCountFrequency (%)
-5256 1
< 0.1%
-4717 1
< 0.1%
-4155 1
< 0.1%
-3807 1
< 0.1%
-3759 1
< 0.1%
ValueCountFrequency (%)
5928 1
< 0.1%
5810 1
< 0.1%
5099 1
< 0.1%
4344 1
< 0.1%
3991 1
< 0.1%

TS_17
Real number (ℝ)

Distinct1677
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.586880784
Minimum-5063
Maximum6316
Zeros163
Zeros (%)0.9%
Negative9889
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:36:31.347470image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5063
5-th percentile-276
Q1-70
median-10
Q365
95-th percentile356
Maximum6316
Range11379
Interquartile range (IQR)135

Descriptive statistics

Standard deviation293.1361762
Coefficient of variation (CV)52.46866499
Kurtosis63.87036671
Mean5.586880784
Median Absolute Deviation (MAD)67
Skewness0.5680972526
Sum102631
Variance85928.81778
MonotonicityNot monotonic
2023-01-04T23:36:31.646700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-28 105
 
0.6%
-33 100
 
0.5%
-11 94
 
0.5%
-44 94
 
0.5%
-36 93
 
0.5%
10 93
 
0.5%
-24 93
 
0.5%
-27 93
 
0.5%
-5 91
 
0.5%
Other values (1667) 17351
94.5%
ValueCountFrequency (%)
-5063 1
< 0.1%
-4786 1
< 0.1%
-4643 1
< 0.1%
-4280 1
< 0.1%
-3609 1
< 0.1%
ValueCountFrequency (%)
6316 1
< 0.1%
5926 1
< 0.1%
4863 1
< 0.1%
3613 1
< 0.1%
3254 1
< 0.1%

TS_18
Real number (ℝ)

Distinct1671
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.340772999
Minimum-5809
Maximum4800
Zeros170
Zeros (%)0.9%
Negative9937
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:36:32.038227image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5809
5-th percentile-262
Q1-69
median-10
Q364
95-th percentile345
Maximum4800
Range10609
Interquartile range (IQR)133

Descriptive statistics

Standard deviation284.127872
Coefficient of variation (CV)44.80965839
Kurtosis49.12426365
Mean6.340772999
Median Absolute Deviation (MAD)65.5
Skewness-0.009066114117
Sum116480
Variance80728.64765
MonotonicityNot monotonic
2023-01-04T23:36:32.333834image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-15 110
 
0.6%
-14 107
 
0.6%
-20 99
 
0.5%
-33 97
 
0.5%
-27 96
 
0.5%
-6 95
 
0.5%
-29 95
 
0.5%
-5 95
 
0.5%
-37 94
 
0.5%
Other values (1661) 17312
94.2%
ValueCountFrequency (%)
-5809 1
< 0.1%
-4744 1
< 0.1%
-3496 1
< 0.1%
-3493 1
< 0.1%
-3491 1
< 0.1%
ValueCountFrequency (%)
4800 1
< 0.1%
4799 1
< 0.1%
3486 1
< 0.1%
3173 1
< 0.1%
3130 1
< 0.1%

TS_19
Real number (ℝ)

Distinct1625
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.710234077
Minimum-5945
Maximum5628
Zeros155
Zeros (%)0.8%
Negative9922
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:36:32.639961image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5945
5-th percentile-267
Q1-68
median-9
Q363
95-th percentile345
Maximum5628
Range11573
Interquartile range (IQR)131

Descriptive statistics

Standard deviation281.1092759
Coefficient of variation (CV)41.89261845
Kurtosis59.80108587
Mean6.710234077
Median Absolute Deviation (MAD)65
Skewness0.5859206373
Sum123267
Variance79022.42499
MonotonicityNot monotonic
2023-01-04T23:36:32.947829image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 155
 
0.8%
-25 106
 
0.6%
-17 104
 
0.6%
-35 104
 
0.6%
-20 103
 
0.6%
-45 102
 
0.6%
-14 100
 
0.5%
-23 98
 
0.5%
-16 97
 
0.5%
-27 97
 
0.5%
Other values (1615) 17304
94.2%
ValueCountFrequency (%)
-5945 1
< 0.1%
-4281 1
< 0.1%
-3863 1
< 0.1%
-3134 1
< 0.1%
-2906 1
< 0.1%
ValueCountFrequency (%)
5628 1
< 0.1%
5562 1
< 0.1%
4310 1
< 0.1%
3731 1
< 0.1%
3685 1
< 0.1%

TS_20
Real number (ℝ)

Distinct1622
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.677354382
Minimum-4962
Maximum4532
Zeros171
Zeros (%)0.9%
Negative9908
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:36:33.261187image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4962
5-th percentile-257
Q1-67
median-9
Q364
95-th percentile340
Maximum4532
Range9494
Interquartile range (IQR)131

Descriptive statistics

Standard deviation275.7341824
Coefficient of variation (CV)41.2939267
Kurtosis45.20230033
Mean6.677354382
Median Absolute Deviation (MAD)64
Skewness0.1682859653
Sum122663
Variance76029.33936
MonotonicityNot monotonic
2023-01-04T23:36:33.538345image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 171
 
0.9%
-25 104
 
0.6%
-6 103
 
0.6%
-23 102
 
0.6%
-35 99
 
0.5%
-30 98
 
0.5%
-46 97
 
0.5%
-22 97
 
0.5%
-5 95
 
0.5%
-29 95
 
0.5%
Other values (1612) 17309
94.2%
ValueCountFrequency (%)
-4962 1
< 0.1%
-3968 1
< 0.1%
-3608 1
< 0.1%
-3369 1
< 0.1%
-3350 1
< 0.1%
ValueCountFrequency (%)
4532 1
< 0.1%
3637 1
< 0.1%
3464 1
< 0.1%
3204 1
< 0.1%
3196 1
< 0.1%

TS_21
Real number (ℝ)

Distinct1644
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.11464344
Minimum-5951
Maximum5634
Zeros155
Zeros (%)0.8%
Negative9890
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:36:33.826644image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5951
5-th percentile-262
Q1-67
median-9
Q365
95-th percentile346
Maximum5634
Range11585
Interquartile range (IQR)132

Descriptive statistics

Standard deviation276.2223653
Coefficient of variation (CV)30.30533965
Kurtosis55.38731282
Mean9.11464344
Median Absolute Deviation (MAD)65
Skewness0.4488347849
Sum167436
Variance76298.79507
MonotonicityNot monotonic
2023-01-04T23:36:34.119610image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 155
 
0.8%
-31 110
 
0.6%
-28 106
 
0.6%
-32 104
 
0.6%
-21 103
 
0.6%
-26 97
 
0.5%
-20 96
 
0.5%
-19 96
 
0.5%
-6 95
 
0.5%
-41 93
 
0.5%
Other values (1634) 17315
94.3%
ValueCountFrequency (%)
-5951 1
< 0.1%
-4631 1
< 0.1%
-3510 1
< 0.1%
-3339 1
< 0.1%
-3255 1
< 0.1%
ValueCountFrequency (%)
5634 1
< 0.1%
3853 1
< 0.1%
3811 1
< 0.1%
3531 1
< 0.1%
3408 1
< 0.1%

TS_22
Real number (ℝ)

Distinct1649
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.488405008
Minimum-5048
Maximum5650
Zeros160
Zeros (%)0.9%
Negative9961
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:36:34.428825image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5048
5-th percentile-260.55
Q1-68
median-10
Q364
95-th percentile339
Maximum5650
Range10698
Interquartile range (IQR)132

Descriptive statistics

Standard deviation275.767047
Coefficient of variation (CV)32.48749874
Kurtosis58.94978745
Mean8.488405008
Median Absolute Deviation (MAD)65
Skewness1.30870734
Sum155932
Variance76047.46421
MonotonicityNot monotonic
2023-01-04T23:36:34.741056image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-21 106
 
0.6%
-34 102
 
0.6%
-27 101
 
0.5%
-24 98
 
0.5%
-5 94
 
0.5%
-12 94
 
0.5%
-38 93
 
0.5%
-37 93
 
0.5%
-49 93
 
0.5%
Other values (1639) 17336
94.4%
ValueCountFrequency (%)
-5048 1
< 0.1%
-4018 1
< 0.1%
-3945 1
< 0.1%
-3117 1
< 0.1%
-2988 1
< 0.1%
ValueCountFrequency (%)
5650 1
< 0.1%
5615 1
< 0.1%
4308 1
< 0.1%
4039 1
< 0.1%
3859 1
< 0.1%

TS_23
Real number (ℝ)

Distinct1605
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.481437126
Minimum-5279
Maximum5607
Zeros137
Zeros (%)0.7%
Negative9916
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:36:35.046068image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5279
5-th percentile-252
Q1-68
median-9
Q364
95-th percentile338
Maximum5607
Range10886
Interquartile range (IQR)132

Descriptive statistics

Standard deviation272.5799684
Coefficient of variation (CV)42.05548294
Kurtosis57.56050237
Mean6.481437126
Median Absolute Deviation (MAD)65
Skewness0.03491679805
Sum119064
Variance74299.83919
MonotonicityNot monotonic
2023-01-04T23:36:35.462807image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137
 
0.7%
-9 118
 
0.6%
-17 106
 
0.6%
-35 97
 
0.5%
-19 96
 
0.5%
-31 94
 
0.5%
-18 93
 
0.5%
-16 92
 
0.5%
-34 92
 
0.5%
-28 91
 
0.5%
Other values (1595) 17354
94.5%
ValueCountFrequency (%)
-5279 1
< 0.1%
-4292 1
< 0.1%
-3606 1
< 0.1%
-3465 1
< 0.1%
-3407 1
< 0.1%
ValueCountFrequency (%)
5607 1
< 0.1%
4837 1
< 0.1%
4317 1
< 0.1%
3576 1
< 0.1%
3427 1
< 0.1%

TS_24
Real number (ℝ)

Distinct1633
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.929123571
Minimum-5764
Maximum5594
Zeros168
Zeros (%)0.9%
Negative9957
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:36:35.773543image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5764
5-th percentile-250.55
Q1-69
median-10
Q363
95-th percentile347
Maximum5594
Range11358
Interquartile range (IQR)132

Descriptive statistics

Standard deviation286.1791079
Coefficient of variation (CV)41.30090984
Kurtosis65.83912931
Mean6.929123571
Median Absolute Deviation (MAD)65
Skewness-0.06926491788
Sum127288
Variance81898.48177
MonotonicityNot monotonic
2023-01-04T23:36:36.063998image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
-17 119
 
0.6%
-11 100
 
0.5%
-23 100
 
0.5%
-35 97
 
0.5%
-26 95
 
0.5%
-25 94
 
0.5%
-30 94
 
0.5%
-27 91
 
0.5%
-34 90
 
0.5%
Other values (1623) 17322
94.3%
ValueCountFrequency (%)
-5764 1
< 0.1%
-5233 1
< 0.1%
-4258 1
< 0.1%
-4222 1
< 0.1%
-3903 1
< 0.1%
ValueCountFrequency (%)
5594 1
< 0.1%
5090 1
< 0.1%
4874 1
< 0.1%
3838 1
< 0.1%
3763 1
< 0.1%

TS_25
Real number (ℝ)

Distinct1664
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.340664126
Minimum-7216
Maximum6651
Zeros183
Zeros (%)1.0%
Negative9952
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:36:36.364094image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7216
5-th percentile-262
Q1-67
median-10
Q362
95-th percentile342
Maximum6651
Range13867
Interquartile range (IQR)129

Descriptive statistics

Standard deviation298.501171
Coefficient of variation (CV)40.66405517
Kurtosis87.55304625
Mean7.340664126
Median Absolute Deviation (MAD)64
Skewness0.8296022228
Sum134848
Variance89102.94911
MonotonicityNot monotonic
2023-01-04T23:36:36.641349image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
1.0%
-23 106
 
0.6%
-29 103
 
0.6%
-25 100
 
0.5%
-27 97
 
0.5%
-5 97
 
0.5%
-39 96
 
0.5%
-15 96
 
0.5%
1 95
 
0.5%
-26 94
 
0.5%
Other values (1654) 17303
94.2%
ValueCountFrequency (%)
-7216 1
< 0.1%
-4941 1
< 0.1%
-4198 1
< 0.1%
-3898 1
< 0.1%
-3781 1
< 0.1%
ValueCountFrequency (%)
6651 1
< 0.1%
5572 1
< 0.1%
5420 1
< 0.1%
5055 1
< 0.1%
4799 1
< 0.1%

TS_26
Real number (ℝ)

Distinct1642
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.801197605
Minimum-5538
Maximum5882
Zeros178
Zeros (%)1.0%
Negative9983
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:36:36.962415image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5538
5-th percentile-260
Q1-67
median-10
Q362
95-th percentile337.55
Maximum5882
Range11420
Interquartile range (IQR)129

Descriptive statistics

Standard deviation285.3541582
Coefficient of variation (CV)41.95645749
Kurtosis60.86551449
Mean6.801197605
Median Absolute Deviation (MAD)64
Skewness0.6106538369
Sum124938
Variance81426.99559
MonotonicityNot monotonic
2023-01-04T23:36:37.263639image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
1.0%
-20 104
 
0.6%
-10 103
 
0.6%
-36 102
 
0.6%
-29 100
 
0.5%
-12 100
 
0.5%
-15 100
 
0.5%
-27 99
 
0.5%
-17 98
 
0.5%
-8 97
 
0.5%
Other values (1632) 17289
94.1%
ValueCountFrequency (%)
-5538 1
< 0.1%
-4187 1
< 0.1%
-3855 1
< 0.1%
-3665 1
< 0.1%
-3503 1
< 0.1%
ValueCountFrequency (%)
5882 1
< 0.1%
4557 1
< 0.1%
4418 1
< 0.1%
3963 1
< 0.1%
3962 1
< 0.1%

TS_27
Real number (ℝ)

Distinct1598
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.172346217
Minimum-4207
Maximum6843
Zeros148
Zeros (%)0.8%
Negative9928
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:36:37.568708image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4207
5-th percentile-257
Q1-67
median-9
Q363
95-th percentile333
Maximum6843
Range11050
Interquartile range (IQR)130

Descriptive statistics

Standard deviation276.5607441
Coefficient of variation (CV)44.80642116
Kurtosis64.69540735
Mean6.172346217
Median Absolute Deviation (MAD)64
Skewness0.4442972262
Sum113386
Variance76485.84519
MonotonicityNot monotonic
2023-01-04T23:36:37.850285image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148
 
0.8%
-18 109
 
0.6%
-37 102
 
0.6%
12 102
 
0.6%
-43 100
 
0.5%
-11 98
 
0.5%
-33 97
 
0.5%
-1 97
 
0.5%
-10 96
 
0.5%
-5 94
 
0.5%
Other values (1588) 17327
94.3%
ValueCountFrequency (%)
-4207 1
< 0.1%
-4204 1
< 0.1%
-4085 1
< 0.1%
-3633 1
< 0.1%
-3630 1
< 0.1%
ValueCountFrequency (%)
6843 1
< 0.1%
4289 1
< 0.1%
4156 1
< 0.1%
4070 1
< 0.1%
3032 1
< 0.1%

TS_28
Real number (ℝ)

Distinct1638
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.884322265
Minimum-4494
Maximum6041
Zeros146
Zeros (%)0.8%
Negative9981
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:36:38.160511image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4494
5-th percentile-265
Q1-68
median-10
Q361
95-th percentile331
Maximum6041
Range10535
Interquartile range (IQR)129

Descriptive statistics

Standard deviation269.8886186
Coefficient of variation (CV)69.48152091
Kurtosis60.22998885
Mean3.884322265
Median Absolute Deviation (MAD)64
Skewness0.1304598195
Sum71355
Variance72839.86647
MonotonicityNot monotonic
2023-01-04T23:36:38.454674image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146
 
0.8%
-29 110
 
0.6%
-19 106
 
0.6%
-23 106
 
0.6%
-25 102
 
0.6%
-16 101
 
0.5%
-18 95
 
0.5%
-7 95
 
0.5%
-3 95
 
0.5%
-8 94
 
0.5%
Other values (1628) 17320
94.3%
ValueCountFrequency (%)
-4494 1
< 0.1%
-4341 1
< 0.1%
-4244 1
< 0.1%
-3410 1
< 0.1%
-3385 1
< 0.1%
ValueCountFrequency (%)
6041 1
< 0.1%
4670 1
< 0.1%
4476 1
< 0.1%
3911 1
< 0.1%
2844 1
< 0.1%

TS_29
Real number (ℝ)

Distinct1633
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.100217746
Minimum-4559
Maximum4481
Zeros163
Zeros (%)0.9%
Negative10002
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:36:38.843405image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4559
5-th percentile-269
Q1-69
median-10.5
Q362
95-th percentile345.55
Maximum4481
Range9040
Interquartile range (IQR)131

Descriptive statistics

Standard deviation268.0339406
Coefficient of variation (CV)65.37066008
Kurtosis43.44347675
Mean4.100217746
Median Absolute Deviation (MAD)64.5
Skewness-0.08381933695
Sum75321
Variance71842.19329
MonotonicityNot monotonic
2023-01-04T23:36:39.119039image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-39 100
 
0.5%
-28 100
 
0.5%
-31 97
 
0.5%
-24 97
 
0.5%
-20 97
 
0.5%
-9 95
 
0.5%
-15 93
 
0.5%
-7 92
 
0.5%
-4 92
 
0.5%
Other values (1623) 17344
94.4%
ValueCountFrequency (%)
-4559 1
< 0.1%
-3802 1
< 0.1%
-3538 1
< 0.1%
-3453 1
< 0.1%
-3057 1
< 0.1%
ValueCountFrequency (%)
4481 1
< 0.1%
4209 1
< 0.1%
3909 1
< 0.1%
3644 1
< 0.1%
3209 1
< 0.1%

TS_30
Real number (ℝ)

Distinct1627
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.323843223
Minimum-6827
Maximum3008
Zeros151
Zeros (%)0.8%
Negative10067
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:36:39.413213image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6827
5-th percentile-259
Q1-69
median-11
Q361
95-th percentile334.55
Maximum3008
Range9835
Interquartile range (IQR)130

Descriptive statistics

Standard deviation272.0889597
Coefficient of variation (CV)81.85974533
Kurtosis65.27983148
Mean3.323843223
Median Absolute Deviation (MAD)64
Skewness-1.974341511
Sum61059
Variance74032.40201
MonotonicityNot monotonic
2023-01-04T23:36:39.720230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151
 
0.8%
-22 103
 
0.6%
-28 99
 
0.5%
-21 98
 
0.5%
-15 98
 
0.5%
-30 96
 
0.5%
-12 96
 
0.5%
-20 94
 
0.5%
-13 94
 
0.5%
-44 94
 
0.5%
Other values (1617) 17347
94.4%
ValueCountFrequency (%)
-6827 1
< 0.1%
-6171 1
< 0.1%
-4090 1
< 0.1%
-3831 1
< 0.1%
-3727 1
< 0.1%
ValueCountFrequency (%)
3008 1
< 0.1%
2942 1
< 0.1%
2914 1
< 0.1%
2800 1
< 0.1%
2684 1
< 0.1%

TS_31
Real number (ℝ)

Distinct1610
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.327490474
Minimum-4609
Maximum3226
Zeros152
Zeros (%)0.8%
Negative10056
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:36:40.017480image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4609
5-th percentile-256.55
Q1-68
median-12
Q363
95-th percentile345
Maximum3226
Range7835
Interquartile range (IQR)131

Descriptive statistics

Standard deviation256.0309921
Coefficient of variation (CV)48.0584608
Kurtosis36.11714075
Mean5.327490474
Median Absolute Deviation (MAD)64
Skewness-0.9526552774
Sum97866
Variance65551.8689
MonotonicityNot monotonic
2023-01-04T23:36:40.322509image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152
 
0.8%
-14 108
 
0.6%
-23 107
 
0.6%
-41 107
 
0.6%
-2 106
 
0.6%
-15 103
 
0.6%
-36 101
 
0.5%
-13 99
 
0.5%
-32 96
 
0.5%
-20 95
 
0.5%
Other values (1600) 17296
94.2%
ValueCountFrequency (%)
-4609 1
< 0.1%
-4196 1
< 0.1%
-3604 1
< 0.1%
-3549 1
< 0.1%
-3450 1
< 0.1%
ValueCountFrequency (%)
3226 1
< 0.1%
2622 1
< 0.1%
2537 1
< 0.1%
2529 1
< 0.1%
2088 1
< 0.1%

TS_32
Real number (ℝ)

Distinct1576
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.513391399
Minimum-3465
Maximum3586
Zeros143
Zeros (%)0.8%
Negative10017
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:36:40.637878image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3465
5-th percentile-251
Q1-69
median-11
Q361
95-th percentile325
Maximum3586
Range7051
Interquartile range (IQR)130

Descriptive statistics

Standard deviation249.5012342
Coefficient of variation (CV)55.28021218
Kurtosis30.20045914
Mean4.513391399
Median Absolute Deviation (MAD)64
Skewness0.08445893042
Sum82911
Variance62250.86587
MonotonicityNot monotonic
2023-01-04T23:36:40.930942image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143
 
0.8%
-29 111
 
0.6%
-16 110
 
0.6%
-23 108
 
0.6%
-20 108
 
0.6%
-13 104
 
0.6%
-25 102
 
0.6%
-31 99
 
0.5%
-30 98
 
0.5%
2 94
 
0.5%
Other values (1566) 17293
94.1%
ValueCountFrequency (%)
-3465 1
< 0.1%
-3259 1
< 0.1%
-3133 1
< 0.1%
-2908 1
< 0.1%
-2881 1
< 0.1%
ValueCountFrequency (%)
3586 1
< 0.1%
2937 1
< 0.1%
2927 1
< 0.1%
2789 1
< 0.1%
2686 1
< 0.1%

TS_33
Real number (ℝ)

Distinct1588
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.989602613
Minimum-5019
Maximum5470
Zeros164
Zeros (%)0.9%
Negative10086
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:36:41.258024image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5019
5-th percentile-258
Q1-69
median-11
Q361
95-th percentile326
Maximum5470
Range10489
Interquartile range (IQR)130

Descriptive statistics

Standard deviation262.290315
Coefficient of variation (CV)65.74346881
Kurtosis54.88565725
Mean3.989602613
Median Absolute Deviation (MAD)64
Skewness0.4535372449
Sum73289
Variance68796.20932
MonotonicityNot monotonic
2023-01-04T23:36:41.547197image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
0.9%
-15 107
 
0.6%
-34 101
 
0.5%
-24 99
 
0.5%
-2 98
 
0.5%
-18 98
 
0.5%
-31 98
 
0.5%
-8 96
 
0.5%
-16 95
 
0.5%
-35 93
 
0.5%
Other values (1578) 17321
94.3%
ValueCountFrequency (%)
-5019 1
< 0.1%
-4078 1
< 0.1%
-3871 1
< 0.1%
-3210 1
< 0.1%
-2992 1
< 0.1%
ValueCountFrequency (%)
5470 1
< 0.1%
4624 1
< 0.1%
4300 1
< 0.1%
3502 1
< 0.1%
3411 1
< 0.1%

TS_34
Real number (ℝ)

Distinct1629
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.723081111
Minimum-7526
Maximum5126
Zeros168
Zeros (%)0.9%
Negative10081
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:36:41.833473image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7526
5-th percentile-256.55
Q1-69
median-11
Q361
95-th percentile331
Maximum5126
Range12652
Interquartile range (IQR)130

Descriptive statistics

Standard deviation267.8919304
Coefficient of variation (CV)46.80903961
Kurtosis77.73041263
Mean5.723081111
Median Absolute Deviation (MAD)64
Skewness0.1324805842
Sum105133
Variance71766.08636
MonotonicityNot monotonic
2023-01-04T23:36:42.265413image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
-41 112
 
0.6%
-28 109
 
0.6%
-25 101
 
0.5%
-8 100
 
0.5%
-29 99
 
0.5%
-26 97
 
0.5%
-21 96
 
0.5%
-24 94
 
0.5%
-20 93
 
0.5%
Other values (1619) 17301
94.2%
ValueCountFrequency (%)
-7526 1
< 0.1%
-3278 1
< 0.1%
-3148 1
< 0.1%
-3030 1
< 0.1%
-2962 1
< 0.1%
ValueCountFrequency (%)
5126 1
< 0.1%
4923 1
< 0.1%
4791 1
< 0.1%
3601 1
< 0.1%
3473 1
< 0.1%

TS_35
Real number (ℝ)

Distinct1602
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.340500817
Minimum-5546
Maximum4081
Zeros161
Zeros (%)0.9%
Negative10071
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:36:42.576189image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5546
5-th percentile-257
Q1-69
median-11
Q361
95-th percentile321
Maximum4081
Range9627
Interquartile range (IQR)130

Descriptive statistics

Standard deviation260.3730366
Coefficient of variation (CV)48.75442315
Kurtosis47.69784641
Mean5.340500817
Median Absolute Deviation (MAD)63
Skewness0.3752999558
Sum98105
Variance67794.1182
MonotonicityNot monotonic
2023-01-04T23:36:42.881494image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
 
0.9%
-15 105
 
0.6%
-42 101
 
0.5%
-22 100
 
0.5%
-18 95
 
0.5%
-31 94
 
0.5%
-2 94
 
0.5%
-34 94
 
0.5%
-28 93
 
0.5%
-50 93
 
0.5%
Other values (1592) 17340
94.4%
ValueCountFrequency (%)
-5546 1
< 0.1%
-4104 1
< 0.1%
-3549 1
< 0.1%
-2931 1
< 0.1%
-2809 1
< 0.1%
ValueCountFrequency (%)
4081 1
< 0.1%
3968 1
< 0.1%
3422 1
< 0.1%
3386 1
< 0.1%
3301 1
< 0.1%

TS_36
Real number (ℝ)

Distinct1571
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.52547632
Minimum-5603
Maximum4601
Zeros162
Zeros (%)0.9%
Negative10072
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:36:43.186598image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5603
5-th percentile-251
Q1-67
median-11
Q363
95-th percentile327.55
Maximum4601
Range10204
Interquartile range (IQR)130

Descriptive statistics

Standard deviation256.6174883
Coefficient of variation (CV)39.32547996
Kurtosis52.75616158
Mean6.52547632
Median Absolute Deviation (MAD)64
Skewness0.6284983203
Sum119873
Variance65852.53528
MonotonicityNot monotonic
2023-01-04T23:36:43.485695image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
0.9%
-36 106
 
0.6%
-21 105
 
0.6%
-37 103
 
0.6%
-12 102
 
0.6%
-28 100
 
0.5%
-5 99
 
0.5%
-30 98
 
0.5%
-22 97
 
0.5%
-4 95
 
0.5%
Other values (1561) 17303
94.2%
ValueCountFrequency (%)
-5603 1
< 0.1%
-3885 1
< 0.1%
-3168 1
< 0.1%
-3096 1
< 0.1%
-3030 1
< 0.1%
ValueCountFrequency (%)
4601 1
< 0.1%
4462 1
< 0.1%
3680 1
< 0.1%
3287 1
< 0.1%
3125 1
< 0.1%

TS_37
Real number (ℝ)

Distinct1570
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.024060969
Minimum-7024
Maximum4197
Zeros165
Zeros (%)0.9%
Negative10009
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:36:43.797595image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7024
5-th percentile-248.55
Q1-68
median-10
Q360
95-th percentile321
Maximum4197
Range11221
Interquartile range (IQR)128

Descriptive statistics

Standard deviation261.4804282
Coefficient of variation (CV)52.04563198
Kurtosis74.77244075
Mean5.024060969
Median Absolute Deviation (MAD)63
Skewness-1.298267186
Sum92292
Variance68372.01434
MonotonicityNot monotonic
2023-01-04T23:36:44.090413image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
 
0.9%
-17 101
 
0.5%
-24 100
 
0.5%
-19 100
 
0.5%
-21 100
 
0.5%
-33 100
 
0.5%
-26 98
 
0.5%
-16 97
 
0.5%
-12 96
 
0.5%
-1 94
 
0.5%
Other values (1560) 17319
94.3%
ValueCountFrequency (%)
-7024 1
< 0.1%
-5422 1
< 0.1%
-4803 1
< 0.1%
-4091 1
< 0.1%
-3989 1
< 0.1%
ValueCountFrequency (%)
4197 1
< 0.1%
3093 1
< 0.1%
3023 1
< 0.1%
2937 1
< 0.1%
2900 1
< 0.1%

TS_38
Real number (ℝ)

Distinct1568
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.253238977
Minimum-6084
Maximum6123
Zeros167
Zeros (%)0.9%
Negative9956
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:36:44.383250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6084
5-th percentile-247
Q1-67
median-10
Q361.75
95-th percentile328
Maximum6123
Range12207
Interquartile range (IQR)128.75

Descriptive statistics

Standard deviation258.7135456
Coefficient of variation (CV)31.34691075
Kurtosis62.29599443
Mean8.253238977
Median Absolute Deviation (MAD)63
Skewness0.5242077398
Sum151612
Variance66932.69867
MonotonicityNot monotonic
2023-01-04T23:36:44.701547image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
0.9%
-1 102
 
0.6%
-30 101
 
0.5%
-9 99
 
0.5%
-18 96
 
0.5%
-48 96
 
0.5%
-45 95
 
0.5%
-17 94
 
0.5%
-24 93
 
0.5%
-43 92
 
0.5%
Other values (1558) 17335
94.4%
ValueCountFrequency (%)
-6084 1
< 0.1%
-3470 1
< 0.1%
-3441 1
< 0.1%
-3090 1
< 0.1%
-2907 1
< 0.1%
ValueCountFrequency (%)
6123 1
< 0.1%
3888 1
< 0.1%
3483 1
< 0.1%
3015 1
< 0.1%
2859 1
< 0.1%

TS_39
Real number (ℝ)

Distinct1551
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.428633642
Minimum-7099
Maximum6285
Zeros177
Zeros (%)1.0%
Negative9935
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:36:45.302550image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7099
5-th percentile-236.55
Q1-67
median-10
Q360
95-th percentile312
Maximum6285
Range13384
Interquartile range (IQR)127

Descriptive statistics

Standard deviation258.6464305
Coefficient of variation (CV)34.81749712
Kurtosis96.5453392
Mean7.428633642
Median Absolute Deviation (MAD)63
Skewness1.146511283
Sum136464
Variance66897.97599
MonotonicityNot monotonic
2023-01-04T23:36:46.258550image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
 
1.0%
-6 104
 
0.6%
-36 103
 
0.6%
-2 101
 
0.5%
-28 97
 
0.5%
-13 96
 
0.5%
-44 95
 
0.5%
-9 94
 
0.5%
-20 94
 
0.5%
-31 93
 
0.5%
Other values (1541) 17316
94.3%
ValueCountFrequency (%)
-7099 1
< 0.1%
-3228 1
< 0.1%
-3111 1
< 0.1%
-2913 1
< 0.1%
-2595 1
< 0.1%
ValueCountFrequency (%)
6285 1
< 0.1%
6207 1
< 0.1%
3996 1
< 0.1%
3395 1
< 0.1%
3347 1
< 0.1%

TS_40
Real number (ℝ)

Distinct1535
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.141916168
Minimum-6458
Maximum5112
Zeros160
Zeros (%)0.9%
Negative9889
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:36:47.377076image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6458
5-th percentile-239
Q1-67
median-9
Q362
95-th percentile308.55
Maximum5112
Range11570
Interquartile range (IQR)129

Descriptive statistics

Standard deviation259.1365757
Coefficient of variation (CV)36.28390052
Kurtosis76.92178421
Mean7.141916168
Median Absolute Deviation (MAD)64
Skewness-0.2812490659
Sum131197
Variance67151.76488
MonotonicityNot monotonic
2023-01-04T23:36:48.050076image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-18 110
 
0.6%
-21 101
 
0.5%
-41 99
 
0.5%
-5 98
 
0.5%
-28 98
 
0.5%
-24 97
 
0.5%
-17 95
 
0.5%
-8 95
 
0.5%
-23 92
 
0.5%
Other values (1525) 17325
94.3%
ValueCountFrequency (%)
-6458 1
< 0.1%
-4863 1
< 0.1%
-4534 1
< 0.1%
-3473 1
< 0.1%
-3237 1
< 0.1%
ValueCountFrequency (%)
5112 1
< 0.1%
4287 1
< 0.1%
3768 1
< 0.1%
3750 1
< 0.1%
3670 1
< 0.1%

TS_41
Real number (ℝ)

Distinct1561
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.721883506
Minimum-6863
Maximum3601
Zeros141
Zeros (%)0.8%
Negative9909
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:36:48.767082image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6863
5-th percentile-240
Q1-66
median-9
Q361
95-th percentile326
Maximum3601
Range10464
Interquartile range (IQR)127

Descriptive statistics

Standard deviation259.2952576
Coefficient of variation (CV)29.7292732
Kurtosis75.72924102
Mean8.721883506
Median Absolute Deviation (MAD)62
Skewness-1.47267795
Sum160221
Variance67234.0306
MonotonicityNot monotonic
2023-01-04T23:36:49.300080image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 141
 
0.8%
-18 104
 
0.6%
-30 104
 
0.6%
-2 103
 
0.6%
-29 98
 
0.5%
-22 96
 
0.5%
-16 96
 
0.5%
-21 93
 
0.5%
-28 93
 
0.5%
-50 93
 
0.5%
Other values (1551) 17349
94.4%
ValueCountFrequency (%)
-6863 1
< 0.1%
-5816 1
< 0.1%
-4592 1
< 0.1%
-4075 1
< 0.1%
-3315 1
< 0.1%
ValueCountFrequency (%)
3601 1
< 0.1%
3532 1
< 0.1%
3213 1
< 0.1%
2823 1
< 0.1%
2822 1
< 0.1%

TS_42
Real number (ℝ)

Distinct1590
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.839248775
Minimum-5468
Maximum3332
Zeros150
Zeros (%)0.8%
Negative10003
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:36:49.811076image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5468
5-th percentile-245.55
Q1-66
median-10
Q361
95-th percentile335
Maximum3332
Range8800
Interquartile range (IQR)127

Descriptive statistics

Standard deviation249.3244064
Coefficient of variation (CV)31.80462995
Kurtosis42.57223373
Mean7.839248775
Median Absolute Deviation (MAD)63
Skewness-0.4525403383
Sum144007
Variance62162.65961
MonotonicityNot monotonic
2023-01-04T23:36:50.224177image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 150
 
0.8%
-18 101
 
0.5%
-1 98
 
0.5%
-24 98
 
0.5%
-22 97
 
0.5%
-30 97
 
0.5%
-12 97
 
0.5%
-17 96
 
0.5%
-21 95
 
0.5%
-19 94
 
0.5%
Other values (1580) 17347
94.4%
ValueCountFrequency (%)
-5468 1
< 0.1%
-3342 1
< 0.1%
-3196 1
< 0.1%
-3164 1
< 0.1%
-3062 1
< 0.1%
ValueCountFrequency (%)
3332 1
< 0.1%
3246 1
< 0.1%
2936 1
< 0.1%
2708 1
< 0.1%
2654 1
< 0.1%

TS_43
Real number (ℝ)

Distinct1543
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.473434948
Minimum-3849
Maximum3448
Zeros180
Zeros (%)1.0%
Negative10049
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:36:50.574176image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3849
5-th percentile-241.55
Q1-67
median-11
Q360.75
95-th percentile325
Maximum3448
Range7297
Interquartile range (IQR)127.75

Descriptive statistics

Standard deviation241.5462961
Coefficient of variation (CV)44.13065989
Kurtosis36.79600254
Mean5.473434948
Median Absolute Deviation (MAD)62
Skewness-0.1412637122
Sum100547
Variance58344.61318
MonotonicityNot monotonic
2023-01-04T23:36:50.870179image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
1.0%
-17 108
 
0.6%
-20 104
 
0.6%
-4 103
 
0.6%
-15 103
 
0.6%
-28 101
 
0.5%
-11 98
 
0.5%
-27 97
 
0.5%
-43 97
 
0.5%
-6 94
 
0.5%
Other values (1533) 17285
94.1%
ValueCountFrequency (%)
-3849 1
< 0.1%
-3701 1
< 0.1%
-3475 1
< 0.1%
-3160 1
< 0.1%
-3146 1
< 0.1%
ValueCountFrequency (%)
3448 1
< 0.1%
3210 1
< 0.1%
3046 1
< 0.1%
2997 1
< 0.1%
2539 1
< 0.1%

TS_44
Real number (ℝ)

Distinct1525
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.341589548
Minimum-6342
Maximum3873
Zeros158
Zeros (%)0.9%
Negative9934
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:36:51.397176image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6342
5-th percentile-237
Q1-67
median-10
Q362
95-th percentile326.55
Maximum3873
Range10215
Interquartile range (IQR)129

Descriptive statistics

Standard deviation244.2588726
Coefficient of variation (CV)33.27057049
Kurtosis60.14841573
Mean7.341589548
Median Absolute Deviation (MAD)64
Skewness-0.2230553027
Sum134865
Variance59662.39684
MonotonicityNot monotonic
2023-01-04T23:36:51.854178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
0.9%
-18 106
 
0.6%
-26 104
 
0.6%
-17 101
 
0.5%
-36 101
 
0.5%
-15 99
 
0.5%
-21 97
 
0.5%
-13 97
 
0.5%
-29 96
 
0.5%
-34 95
 
0.5%
Other values (1515) 17316
94.3%
ValueCountFrequency (%)
-6342 1
< 0.1%
-3417 1
< 0.1%
-3004 1
< 0.1%
-2984 1
< 0.1%
-2982 1
< 0.1%
ValueCountFrequency (%)
3873 1
< 0.1%
3789 1
< 0.1%
3544 1
< 0.1%
3500 1
< 0.1%
3251 1
< 0.1%

TS_45
Real number (ℝ)

Distinct1530
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.320577028
Minimum-6183
Maximum6807
Zeros151
Zeros (%)0.8%
Negative9945
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:36:52.224180image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6183
5-th percentile-240
Q1-66
median-10
Q363
95-th percentile322.55
Maximum6807
Range12990
Interquartile range (IQR)129

Descriptive statistics

Standard deviation244.4514459
Coefficient of variation (CV)29.37914583
Kurtosis83.43116162
Mean8.320577028
Median Absolute Deviation (MAD)63
Skewness0.7587403733
Sum152849
Variance59756.5094
MonotonicityNot monotonic
2023-01-04T23:36:52.682176image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151
 
0.8%
-17 117
 
0.6%
-27 109
 
0.6%
-13 107
 
0.6%
-26 99
 
0.5%
-9 97
 
0.5%
-23 97
 
0.5%
-24 97
 
0.5%
-35 97
 
0.5%
-48 96
 
0.5%
Other values (1520) 17303
94.2%
ValueCountFrequency (%)
-6183 1
< 0.1%
-4474 1
< 0.1%
-2947 1
< 0.1%
-2728 1
< 0.1%
-2663 1
< 0.1%
ValueCountFrequency (%)
6807 1
< 0.1%
3718 1
< 0.1%
3354 1
< 0.1%
2966 1
< 0.1%
2584 1
< 0.1%

TS_46
Real number (ℝ)

Distinct1497
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.321937942
Minimum-4734
Maximum3516
Zeros157
Zeros (%)0.9%
Negative9963
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:36:53.023174image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4734
5-th percentile-240
Q1-67
median-9
Q361
95-th percentile296
Maximum3516
Range8250
Interquartile range (IQR)128

Descriptive statistics

Standard deviation233.0556094
Coefficient of variation (CV)53.92386762
Kurtosis43.95867779
Mean4.321937942
Median Absolute Deviation (MAD)63
Skewness-0.1360723642
Sum79394
Variance54314.91709
MonotonicityNot monotonic
2023-01-04T23:36:53.344178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 157
 
0.9%
-22 113
 
0.6%
-38 102
 
0.6%
-20 102
 
0.6%
-23 99
 
0.5%
-28 99
 
0.5%
-6 95
 
0.5%
-27 95
 
0.5%
-39 93
 
0.5%
-9 92
 
0.5%
Other values (1487) 17323
94.3%
ValueCountFrequency (%)
-4734 1
< 0.1%
-4247 1
< 0.1%
-2762 1
< 0.1%
-2642 1
< 0.1%
-2488 1
< 0.1%
ValueCountFrequency (%)
3516 1
< 0.1%
3447 1
< 0.1%
3255 1
< 0.1%
3017 1
< 0.1%
2971 1
< 0.1%

TS_47
Real number (ℝ)

Distinct1507
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.691834513
Minimum-2949
Maximum3254
Zeros151
Zeros (%)0.8%
Negative9948
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:36:53.697178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2949
5-th percentile-243
Q1-65
median-9
Q363
95-th percentile302
Maximum3254
Range6203
Interquartile range (IQR)128

Descriptive statistics

Standard deviation230.7330884
Coefficient of variation (CV)34.47979593
Kurtosis31.05446975
Mean6.691834513
Median Absolute Deviation (MAD)63
Skewness0.4229680505
Sum122929
Variance53237.7581
MonotonicityNot monotonic
2023-01-04T23:36:54.035182image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151
 
0.8%
-38 106
 
0.6%
-4 103
 
0.6%
-36 103
 
0.6%
-23 100
 
0.5%
-32 99
 
0.5%
-29 98
 
0.5%
-41 96
 
0.5%
-11 96
 
0.5%
-31 96
 
0.5%
Other values (1497) 17322
94.3%
ValueCountFrequency (%)
-2949 1
< 0.1%
-2819 1
< 0.1%
-2748 1
< 0.1%
-2745 1
< 0.1%
-2706 1
< 0.1%
ValueCountFrequency (%)
3254 1
< 0.1%
3039 1
< 0.1%
3014 1
< 0.1%
2898 1
< 0.1%
2406 1
< 0.1%

TS_48
Real number (ℝ)

Distinct1484
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.800653239
Minimum-3797
Maximum3079
Zeros159
Zeros (%)0.9%
Negative9938
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:36:54.405179image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3797
5-th percentile-237.55
Q1-66
median-10
Q361
95-th percentile296
Maximum3079
Range6876
Interquartile range (IQR)127

Descriptive statistics

Standard deviation227.5652178
Coefficient of variation (CV)39.2309639
Kurtosis32.29557193
Mean5.800653239
Median Absolute Deviation (MAD)62
Skewness0.3724077338
Sum106558
Variance51785.92836
MonotonicityNot monotonic
2023-01-04T23:36:54.765177image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 159
 
0.9%
-35 110
 
0.6%
-12 110
 
0.6%
-28 106
 
0.6%
-15 100
 
0.5%
-18 99
 
0.5%
-26 98
 
0.5%
-3 98
 
0.5%
-27 97
 
0.5%
-17 96
 
0.5%
Other values (1474) 17297
94.2%
ValueCountFrequency (%)
-3797 1
< 0.1%
-3303 1
< 0.1%
-2969 1
< 0.1%
-2604 1
< 0.1%
-2449 1
< 0.1%
ValueCountFrequency (%)
3079 1
< 0.1%
2769 1
< 0.1%
2719 1
< 0.1%
2574 1
< 0.1%
2559 1
< 0.1%

TS_49
Real number (ℝ)

Distinct1522
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.524550898
Minimum-4190
Maximum3114
Zeros156
Zeros (%)0.8%
Negative9966
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:36:55.337175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4190
5-th percentile-240
Q1-65.75
median-9
Q360
95-th percentile311.55
Maximum3114
Range7304
Interquartile range (IQR)125.75

Descriptive statistics

Standard deviation235.5202841
Coefficient of variation (CV)31.30024466
Kurtosis34.4481258
Mean7.524550898
Median Absolute Deviation (MAD)62
Skewness0.25298158
Sum138226
Variance55469.8042
MonotonicityNot monotonic
2023-01-04T23:36:55.798177image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 156
 
0.8%
-23 105
 
0.6%
-1 105
 
0.6%
-22 102
 
0.6%
-13 102
 
0.6%
-12 102
 
0.6%
-16 99
 
0.5%
-39 98
 
0.5%
-4 97
 
0.5%
-7 97
 
0.5%
Other values (1512) 17307
94.2%
ValueCountFrequency (%)
-4190 1
< 0.1%
-3261 1
< 0.1%
-3109 1
< 0.1%
-3028 1
< 0.1%
-2676 1
< 0.1%
ValueCountFrequency (%)
3114 1
< 0.1%
3001 1
< 0.1%
2820 1
< 0.1%
2584 1
< 0.1%
2583 1
< 0.1%

TS_50
Real number (ℝ)

Distinct1544
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.168263473
Minimum-5098
Maximum3628
Zeros167
Zeros (%)0.9%
Negative9864
Negative (%)53.7%
Memory size143.6 KiB
2023-01-04T23:36:56.432202image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5098
5-th percentile-236
Q1-66
median-8
Q361
95-th percentile323.55
Maximum3628
Range8726
Interquartile range (IQR)127

Descriptive statistics

Standard deviation243.1468362
Coefficient of variation (CV)26.52048961
Kurtosis43.37031452
Mean9.168263473
Median Absolute Deviation (MAD)62
Skewness-0.06523035405
Sum168421
Variance59120.38396
MonotonicityNot monotonic
2023-01-04T23:36:56.948175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
0.9%
-25 109
 
0.6%
-12 108
 
0.6%
-14 102
 
0.6%
-39 100
 
0.5%
-26 97
 
0.5%
-19 97
 
0.5%
-5 96
 
0.5%
-32 96
 
0.5%
-46 95
 
0.5%
Other values (1534) 17303
94.2%
ValueCountFrequency (%)
-5098 1
< 0.1%
-4384 1
< 0.1%
-3588 1
< 0.1%
-3002 1
< 0.1%
-2864 1
< 0.1%
ValueCountFrequency (%)
3628 1
< 0.1%
3102 1
< 0.1%
3080 1
< 0.1%
2708 1
< 0.1%
2434 1
< 0.1%

TS_51
Real number (ℝ)

Distinct1527
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.241807295
Minimum-3729
Maximum5741
Zeros161
Zeros (%)0.9%
Negative9905
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:36:57.475174image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3729
5-th percentile-233
Q1-65
median-9
Q361
95-th percentile309
Maximum5741
Range9470
Interquartile range (IQR)126

Descriptive statistics

Standard deviation240.8466629
Coefficient of variation (CV)29.22255451
Kurtosis51.57272981
Mean8.241807295
Median Absolute Deviation (MAD)62
Skewness1.619000055
Sum151402
Variance58007.11502
MonotonicityNot monotonic
2023-01-04T23:36:57.811178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
 
0.9%
-29 109
 
0.6%
-34 105
 
0.6%
-47 104
 
0.6%
-14 101
 
0.5%
-15 100
 
0.5%
-17 99
 
0.5%
-43 98
 
0.5%
-22 97
 
0.5%
-31 94
 
0.5%
Other values (1517) 17302
94.2%
ValueCountFrequency (%)
-3729 1
< 0.1%
-3512 1
< 0.1%
-3117 1
< 0.1%
-2421 1
< 0.1%
-2319 1
< 0.1%
ValueCountFrequency (%)
5741 1
< 0.1%
3642 1
< 0.1%
3561 1
< 0.1%
3001 1
< 0.1%
2950 1
< 0.1%

TS_52
Real number (ℝ)

Distinct1510
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.622754491
Minimum-5224
Maximum5630
Zeros173
Zeros (%)0.9%
Negative9954
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:36:58.178178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5224
5-th percentile-235
Q1-66
median-10
Q361
95-th percentile310
Maximum5630
Range10854
Interquartile range (IQR)127

Descriptive statistics

Standard deviation237.6990669
Coefficient of variation (CV)27.56648901
Kurtosis59.05438428
Mean8.622754491
Median Absolute Deviation (MAD)62
Skewness1.361633107
Sum158400
Variance56500.84641
MonotonicityNot monotonic
2023-01-04T23:36:58.579179image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.9%
-29 107
 
0.6%
-32 106
 
0.6%
-12 104
 
0.6%
-21 101
 
0.5%
-25 101
 
0.5%
-31 97
 
0.5%
-27 96
 
0.5%
-1 94
 
0.5%
-16 94
 
0.5%
Other values (1500) 17297
94.2%
ValueCountFrequency (%)
-5224 1
< 0.1%
-3171 1
< 0.1%
-2968 1
< 0.1%
-2358 1
< 0.1%
-2340 1
< 0.1%
ValueCountFrequency (%)
5630 1
< 0.1%
4190 1
< 0.1%
3133 1
< 0.1%
3124 1
< 0.1%
3028 1
< 0.1%

TS_53
Real number (ℝ)

Distinct1522
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.262983125
Minimum-5340
Maximum4709
Zeros169
Zeros (%)0.9%
Negative10035
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:36:59.013178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5340
5-th percentile-235
Q1-66
median-10
Q358
95-th percentile304
Maximum4709
Range10049
Interquartile range (IQR)124

Descriptive statistics

Standard deviation233.749703
Coefficient of variation (CV)32.18370454
Kurtosis47.66455476
Mean7.262983125
Median Absolute Deviation (MAD)61
Skewness0.7200901581
Sum133421
Variance54638.92365
MonotonicityNot monotonic
2023-01-04T23:36:59.428176image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169
 
0.9%
-33 128
 
0.7%
-26 118
 
0.6%
-8 101
 
0.5%
-10 98
 
0.5%
-2 98
 
0.5%
-22 97
 
0.5%
-3 96
 
0.5%
-35 96
 
0.5%
-29 96
 
0.5%
Other values (1512) 17273
94.0%
ValueCountFrequency (%)
-5340 1
< 0.1%
-3040 1
< 0.1%
-2803 1
< 0.1%
-2511 1
< 0.1%
-2336 1
< 0.1%
ValueCountFrequency (%)
4709 1
< 0.1%
2827 1
< 0.1%
2812 1
< 0.1%
2796 1
< 0.1%
2724 1
< 0.1%

TS_54
Real number (ℝ)

Distinct1557
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.114425694
Minimum-5719
Maximum5997
Zeros155
Zeros (%)0.8%
Negative10089
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:36:59.782178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5719
5-th percentile-241
Q1-67
median-12
Q358
95-th percentile315
Maximum5997
Range11716
Interquartile range (IQR)125

Descriptive statistics

Standard deviation248.6010448
Coefficient of variation (CV)34.94323442
Kurtosis63.15595593
Mean7.114425694
Median Absolute Deviation (MAD)61
Skewness1.35255044
Sum130692
Variance61802.47948
MonotonicityNot monotonic
2023-01-04T23:37:00.299176image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 155
 
0.8%
-27 114
 
0.6%
-12 109
 
0.6%
-16 104
 
0.6%
-22 103
 
0.6%
-30 102
 
0.6%
-19 100
 
0.5%
-29 100
 
0.5%
-25 100
 
0.5%
-26 99
 
0.5%
Other values (1547) 17284
94.1%
ValueCountFrequency (%)
-5719 1
< 0.1%
-3320 1
< 0.1%
-2692 1
< 0.1%
-2577 1
< 0.1%
-2503 1
< 0.1%
ValueCountFrequency (%)
5997 1
< 0.1%
4804 1
< 0.1%
3055 1
< 0.1%
2857 1
< 0.1%
2751 1
< 0.1%

TS_55
Real number (ℝ)

Distinct1517
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.295155144
Minimum-3758
Maximum5769
Zeros163
Zeros (%)0.9%
Negative10055
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:37:00.757179image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3758
5-th percentile-236
Q1-66
median-11
Q357
95-th percentile305
Maximum5769
Range9527
Interquartile range (IQR)123

Descriptive statistics

Standard deviation245.7147059
Coefficient of variation (CV)39.03235111
Kurtosis73.35460768
Mean6.295155144
Median Absolute Deviation (MAD)61
Skewness2.9061659
Sum115642
Variance60375.71668
MonotonicityNot monotonic
2023-01-04T23:37:01.245175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-22 110
 
0.6%
-12 108
 
0.6%
-26 107
 
0.6%
-14 106
 
0.6%
-33 105
 
0.6%
-18 101
 
0.5%
-39 98
 
0.5%
-34 97
 
0.5%
-45 97
 
0.5%
Other values (1507) 17278
94.1%
ValueCountFrequency (%)
-3758 1
< 0.1%
-3203 1
< 0.1%
-2275 1
< 0.1%
-2204 1
< 0.1%
-2194 1
< 0.1%
ValueCountFrequency (%)
5769 1
< 0.1%
5625 1
< 0.1%
4720 1
< 0.1%
4390 1
< 0.1%
4009 1
< 0.1%

TS_56
Real number (ℝ)

Distinct1520
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.40413718
Minimum-4491
Maximum6539
Zeros166
Zeros (%)0.9%
Negative10042
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:37:01.746178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4491
5-th percentile-238
Q1-65
median-11
Q359
95-th percentile309
Maximum6539
Range11030
Interquartile range (IQR)124

Descriptive statistics

Standard deviation235.3340835
Coefficient of variation (CV)36.74719589
Kurtosis64.47175641
Mean6.40413718
Median Absolute Deviation (MAD)61
Skewness1.151178743
Sum117644
Variance55382.13086
MonotonicityNot monotonic
2023-01-04T23:37:02.239704image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
 
0.9%
-17 115
 
0.6%
-26 109
 
0.6%
-16 103
 
0.6%
-29 103
 
0.6%
-13 102
 
0.6%
-22 98
 
0.5%
-11 97
 
0.5%
-12 96
 
0.5%
-47 96
 
0.5%
Other values (1510) 17285
94.1%
ValueCountFrequency (%)
-4491 1
< 0.1%
-3121 1
< 0.1%
-2834 1
< 0.1%
-2750 2
< 0.1%
-2562 1
< 0.1%
ValueCountFrequency (%)
6539 1
< 0.1%
3341 1
< 0.1%
2728 1
< 0.1%
2478 1
< 0.1%
2353 1
< 0.1%

TS_57
Real number (ℝ)

Distinct1492
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.737125749
Minimum-5244
Maximum4929
Zeros147
Zeros (%)0.8%
Negative9947
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:02.570705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5244
5-th percentile-235
Q1-65
median-10
Q360
95-th percentile313
Maximum4929
Range10173
Interquartile range (IQR)125

Descriptive statistics

Standard deviation238.7958723
Coefficient of variation (CV)30.86364111
Kurtosis53.47129771
Mean7.737125749
Median Absolute Deviation (MAD)61
Skewness-0.08390716104
Sum142131
Variance57023.46865
MonotonicityNot monotonic
2023-01-04T23:37:03.184705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147
 
0.8%
-31 112
 
0.6%
-17 112
 
0.6%
-30 99
 
0.5%
5 98
 
0.5%
-18 98
 
0.5%
-27 97
 
0.5%
-22 96
 
0.5%
-29 96
 
0.5%
-35 95
 
0.5%
Other values (1482) 17320
94.3%
ValueCountFrequency (%)
-5244 1
< 0.1%
-3556 1
< 0.1%
-3300 1
< 0.1%
-3074 1
< 0.1%
-3019 1
< 0.1%
ValueCountFrequency (%)
4929 1
< 0.1%
3338 1
< 0.1%
2851 1
< 0.1%
2740 1
< 0.1%
2528 1
< 0.1%

TS_58
Real number (ℝ)

Distinct1485
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.530484486
Minimum-4040
Maximum3818
Zeros146
Zeros (%)0.8%
Negative9935
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:03.589710image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4040
5-th percentile-229.55
Q1-64
median-9
Q361
95-th percentile311.55
Maximum3818
Range7858
Interquartile range (IQR)125

Descriptive statistics

Standard deviation236.3002124
Coefficient of variation (CV)27.70067899
Kurtosis46.15380614
Mean8.530484486
Median Absolute Deviation (MAD)62
Skewness-0.3147767763
Sum156705
Variance55837.79038
MonotonicityNot monotonic
2023-01-04T23:37:03.948708image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146
 
0.8%
-20 107
 
0.6%
-21 107
 
0.6%
-22 101
 
0.5%
-2 100
 
0.5%
-28 100
 
0.5%
-52 99
 
0.5%
-32 98
 
0.5%
-31 98
 
0.5%
-19 97
 
0.5%
Other values (1475) 17317
94.3%
ValueCountFrequency (%)
-4040 1
< 0.1%
-3929 1
< 0.1%
-3696 1
< 0.1%
-3575 1
< 0.1%
-3309 1
< 0.1%
ValueCountFrequency (%)
3818 1
< 0.1%
3387 1
< 0.1%
3051 1
< 0.1%
2557 1
< 0.1%
2429 1
< 0.1%

TS_59
Real number (ℝ)

Distinct1512
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.426456179
Minimum-4791
Maximum5109
Zeros139
Zeros (%)0.8%
Negative9978
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:04.313700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4791
5-th percentile-240
Q1-66
median-10
Q360
95-th percentile312
Maximum5109
Range9900
Interquartile range (IQR)126

Descriptive statistics

Standard deviation245.6013722
Coefficient of variation (CV)38.21723286
Kurtosis55.94989804
Mean6.426456179
Median Absolute Deviation (MAD)61.5
Skewness-0.2123805664
Sum118054
Variance60320.03403
MonotonicityNot monotonic
2023-01-04T23:37:04.629709image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 139
 
0.8%
-16 110
 
0.6%
-23 108
 
0.6%
-19 107
 
0.6%
-13 106
 
0.6%
-9 103
 
0.6%
-30 101
 
0.5%
-12 98
 
0.5%
-45 97
 
0.5%
-27 96
 
0.5%
Other values (1502) 17305
94.2%
ValueCountFrequency (%)
-4791 1
< 0.1%
-3693 1
< 0.1%
-3647 1
< 0.1%
-3639 1
< 0.1%
-3396 1
< 0.1%
ValueCountFrequency (%)
5109 1
< 0.1%
3382 1
< 0.1%
3369 1
< 0.1%
3366 1
< 0.1%
3076 1
< 0.1%

TS_60
Real number (ℝ)

Distinct1526
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.728034839
Minimum-6140
Maximum4236
Zeros142
Zeros (%)0.8%
Negative9967
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:04.965702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6140
5-th percentile-232
Q1-65
median-10
Q362
95-th percentile313
Maximum4236
Range10376
Interquartile range (IQR)127

Descriptive statistics

Standard deviation243.7295979
Coefficient of variation (CV)31.53836686
Kurtosis80.42658697
Mean7.728034839
Median Absolute Deviation (MAD)62
Skewness-1.790261235
Sum141964
Variance59404.1169
MonotonicityNot monotonic
2023-01-04T23:37:05.318703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 142
 
0.8%
-7 105
 
0.6%
-18 103
 
0.6%
-27 101
 
0.5%
-23 101
 
0.5%
-19 100
 
0.5%
-17 100
 
0.5%
-42 100
 
0.5%
-21 100
 
0.5%
-32 99
 
0.5%
Other values (1516) 17319
94.3%
ValueCountFrequency (%)
-6140 1
< 0.1%
-5984 1
< 0.1%
-4777 1
< 0.1%
-3985 1
< 0.1%
-3847 1
< 0.1%
ValueCountFrequency (%)
4236 1
< 0.1%
3198 1
< 0.1%
2712 1
< 0.1%
2693 1
< 0.1%
2209 1
< 0.1%

TS_61
Real number (ℝ)

Distinct1490
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.752041372
Minimum-6297
Maximum4761
Zeros191
Zeros (%)1.0%
Negative9903
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:37:05.668700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6297
5-th percentile-228
Q1-64
median-9
Q359
95-th percentile304
Maximum4761
Range11058
Interquartile range (IQR)123

Descriptive statistics

Standard deviation239.8318226
Coefficient of variation (CV)35.51989827
Kurtosis96.09477659
Mean6.752041372
Median Absolute Deviation (MAD)61
Skewness-1.608580055
Sum124035
Variance57519.30315
MonotonicityNot monotonic
2023-01-04T23:37:05.994704image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 191
 
1.0%
-24 118
 
0.6%
-14 111
 
0.6%
-15 109
 
0.6%
-2 107
 
0.6%
-23 105
 
0.6%
-12 101
 
0.5%
-16 100
 
0.5%
-21 99
 
0.5%
-30 97
 
0.5%
Other values (1480) 17232
93.8%
ValueCountFrequency (%)
-6297 1
< 0.1%
-5653 1
< 0.1%
-5407 1
< 0.1%
-3725 1
< 0.1%
-3591 1
< 0.1%
ValueCountFrequency (%)
4761 1
< 0.1%
4421 1
< 0.1%
3474 1
< 0.1%
2900 1
< 0.1%
2562 1
< 0.1%

TS_62
Real number (ℝ)

Distinct1497
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.794284159
Minimum-5263
Maximum3975
Zeros168
Zeros (%)0.9%
Negative9882
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:06.429703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5263
5-th percentile-224
Q1-65
median-9
Q361
95-th percentile308
Maximum3975
Range9238
Interquartile range (IQR)126

Descriptive statistics

Standard deviation239.4322923
Coefficient of variation (CV)30.71895859
Kurtosis58.88728797
Mean7.794284159
Median Absolute Deviation (MAD)62
Skewness0.0904327558
Sum143181
Variance57327.82261
MonotonicityNot monotonic
2023-01-04T23:37:06.728700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
-15 107
 
0.6%
-45 105
 
0.6%
-9 103
 
0.6%
-29 102
 
0.6%
-43 102
 
0.6%
-19 102
 
0.6%
-37 101
 
0.5%
-34 99
 
0.5%
-27 97
 
0.5%
Other values (1487) 17284
94.1%
ValueCountFrequency (%)
-5263 1
< 0.1%
-4470 1
< 0.1%
-4418 1
< 0.1%
-3180 1
< 0.1%
-2787 1
< 0.1%
ValueCountFrequency (%)
3975 1
< 0.1%
3920 1
< 0.1%
3655 1
< 0.1%
3491 1
< 0.1%
2810 1
< 0.1%

TS_63
Real number (ℝ)

Distinct1474
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.02286336
Minimum-4846
Maximum6801
Zeros174
Zeros (%)0.9%
Negative9837
Negative (%)53.5%
Memory size143.6 KiB
2023-01-04T23:37:07.029701image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4846
5-th percentile-217.55
Q1-65
median-9
Q362
95-th percentile305
Maximum6801
Range11647
Interquartile range (IQR)127

Descriptive statistics

Standard deviation238.0850949
Coefficient of variation (CV)23.7541994
Kurtosis83.88585759
Mean10.02286336
Median Absolute Deviation (MAD)62
Skewness1.468684815
Sum184120
Variance56684.51241
MonotonicityNot monotonic
2023-01-04T23:37:07.342703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
0.9%
-37 103
 
0.6%
-17 101
 
0.5%
-16 100
 
0.5%
-33 99
 
0.5%
-14 97
 
0.5%
-23 96
 
0.5%
-21 96
 
0.5%
-18 96
 
0.5%
-24 95
 
0.5%
Other values (1464) 17313
94.2%
ValueCountFrequency (%)
-4846 1
< 0.1%
-4308 1
< 0.1%
-3670 1
< 0.1%
-2858 1
< 0.1%
-2690 1
< 0.1%
ValueCountFrequency (%)
6801 1
< 0.1%
4157 1
< 0.1%
3481 1
< 0.1%
3472 1
< 0.1%
3377 1
< 0.1%

TS_64
Real number (ℝ)

Distinct1492
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.82346217
Minimum-5513
Maximum5183
Zeros152
Zeros (%)0.8%
Negative9932
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:07.687702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5513
5-th percentile-215
Q1-63
median-10
Q360
95-th percentile313
Maximum5183
Range10696
Interquartile range (IQR)123

Descriptive statistics

Standard deviation238.0137948
Coefficient of variation (CV)21.99054158
Kurtosis67.03443853
Mean10.82346217
Median Absolute Deviation (MAD)60.5
Skewness0.6716166764
Sum198827
Variance56650.56652
MonotonicityNot monotonic
2023-01-04T23:37:08.026699image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152
 
0.8%
-44 110
 
0.6%
-21 103
 
0.6%
-22 102
 
0.6%
-43 96
 
0.5%
-49 96
 
0.5%
-20 96
 
0.5%
-36 96
 
0.5%
-26 95
 
0.5%
-34 95
 
0.5%
Other values (1482) 17329
94.3%
ValueCountFrequency (%)
-5513 1
< 0.1%
-3659 1
< 0.1%
-3376 1
< 0.1%
-3244 1
< 0.1%
-3235 1
< 0.1%
ValueCountFrequency (%)
5183 1
< 0.1%
4678 1
< 0.1%
3476 1
< 0.1%
3175 1
< 0.1%
3022 1
< 0.1%

TS_65
Real number (ℝ)

Distinct1457
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.198312466
Minimum-4338
Maximum3784
Zeros183
Zeros (%)1.0%
Negative9893
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:37:08.347702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4338
5-th percentile-214
Q1-64
median-9
Q361
95-th percentile309
Maximum3784
Range8122
Interquartile range (IQR)125

Descriptive statistics

Standard deviation229.1072165
Coefficient of variation (CV)24.90752704
Kurtosis44.26266825
Mean9.198312466
Median Absolute Deviation (MAD)61
Skewness-0.2427661048
Sum168973
Variance52490.11664
MonotonicityNot monotonic
2023-01-04T23:37:08.673702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
1.0%
-27 109
 
0.6%
-23 106
 
0.6%
-13 104
 
0.6%
-24 102
 
0.6%
-34 101
 
0.5%
-30 100
 
0.5%
-25 99
 
0.5%
-17 99
 
0.5%
-32 97
 
0.5%
Other values (1447) 17270
94.0%
ValueCountFrequency (%)
-4338 1
< 0.1%
-3752 1
< 0.1%
-3688 1
< 0.1%
-3086 1
< 0.1%
-2958 1
< 0.1%
ValueCountFrequency (%)
3784 1
< 0.1%
3316 1
< 0.1%
2986 1
< 0.1%
2543 1
< 0.1%
2455 1
< 0.1%

TS_66
Real number (ℝ)

Distinct1477
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.783179096
Minimum-6440
Maximum2713
Zeros162
Zeros (%)0.9%
Negative9891
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:09.030702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6440
5-th percentile-215.55
Q1-64
median-9
Q361
95-th percentile307
Maximum2713
Range9153
Interquartile range (IQR)125

Descriptive statistics

Standard deviation238.8894725
Coefficient of variation (CV)27.19852002
Kurtosis79.67319719
Mean8.783179096
Median Absolute Deviation (MAD)61
Skewness-1.897367833
Sum161347
Variance57068.18005
MonotonicityNot monotonic
2023-01-04T23:37:09.360704image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
0.9%
-21 105
 
0.6%
-30 100
 
0.5%
-12 100
 
0.5%
-31 100
 
0.5%
-29 100
 
0.5%
-17 98
 
0.5%
-38 98
 
0.5%
-9 97
 
0.5%
-6 97
 
0.5%
Other values (1467) 17313
94.2%
ValueCountFrequency (%)
-6440 1
< 0.1%
-5817 1
< 0.1%
-3839 1
< 0.1%
-3704 1
< 0.1%
-3584 1
< 0.1%
ValueCountFrequency (%)
2713 1
< 0.1%
2647 1
< 0.1%
2503 1
< 0.1%
2473 1
< 0.1%
2468 1
< 0.1%

TS_67
Real number (ℝ)

Distinct1507
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.642623843
Minimum-6043
Maximum4185
Zeros177
Zeros (%)1.0%
Negative9858
Negative (%)53.7%
Memory size143.6 KiB
2023-01-04T23:37:09.711698image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6043
5-th percentile-221.55
Q1-63
median-9
Q360
95-th percentile303.55
Maximum4185
Range10228
Interquartile range (IQR)123

Descriptive statistics

Standard deviation239.8683947
Coefficient of variation (CV)27.75411716
Kurtosis55.91503471
Mean8.642623843
Median Absolute Deviation (MAD)60
Skewness-0.757851034
Sum158765
Variance57536.8468
MonotonicityNot monotonic
2023-01-04T23:37:10.435702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
 
1.0%
-16 110
 
0.6%
-25 101
 
0.5%
-17 101
 
0.5%
-13 100
 
0.5%
-11 100
 
0.5%
-19 99
 
0.5%
-40 99
 
0.5%
-14 98
 
0.5%
-18 98
 
0.5%
Other values (1497) 17287
94.1%
ValueCountFrequency (%)
-6043 1
< 0.1%
-3991 1
< 0.1%
-3389 1
< 0.1%
-2843 1
< 0.1%
-2646 1
< 0.1%
ValueCountFrequency (%)
4185 1
< 0.1%
2766 1
< 0.1%
2516 1
< 0.1%
2347 1
< 0.1%
2250 1
< 0.1%

TS_68
Real number (ℝ)

Distinct1487
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.63821448
Minimum-4298
Maximum4941
Zeros164
Zeros (%)0.9%
Negative9880
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:10.844708image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4298
5-th percentile-218
Q1-63
median-8
Q359
95-th percentile312
Maximum4941
Range9239
Interquartile range (IQR)122

Descriptive statistics

Standard deviation236.1603306
Coefficient of variation (CV)24.50249796
Kurtosis46.31140466
Mean9.63821448
Median Absolute Deviation (MAD)60
Skewness0.378156638
Sum177054
Variance55771.70176
MonotonicityNot monotonic
2023-01-04T23:37:11.297708image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
0.9%
9 106
 
0.6%
-7 105
 
0.6%
-28 102
 
0.6%
-31 101
 
0.5%
-22 101
 
0.5%
-29 101
 
0.5%
-24 100
 
0.5%
-23 99
 
0.5%
-33 98
 
0.5%
Other values (1477) 17293
94.1%
ValueCountFrequency (%)
-4298 1
< 0.1%
-3297 1
< 0.1%
-3211 1
< 0.1%
-3161 1
< 0.1%
-2637 1
< 0.1%
ValueCountFrequency (%)
4941 1
< 0.1%
3266 1
< 0.1%
3242 1
< 0.1%
2639 1
< 0.1%
2484 1
< 0.1%

TS_69
Real number (ℝ)

Distinct1496
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.17697333
Minimum-4166
Maximum4744
Zeros146
Zeros (%)0.8%
Negative9885
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:11.678704image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4166
5-th percentile-218
Q1-63
median-9
Q360
95-th percentile307
Maximum4744
Range8910
Interquartile range (IQR)123

Descriptive statistics

Standard deviation235.9338517
Coefficient of variation (CV)21.10892143
Kurtosis45.78513769
Mean11.17697333
Median Absolute Deviation (MAD)60
Skewness1.145911444
Sum205321
Variance55664.78239
MonotonicityNot monotonic
2023-01-04T23:37:12.002701image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146
 
0.8%
-24 112
 
0.6%
-25 109
 
0.6%
-34 105
 
0.6%
-31 105
 
0.6%
-35 104
 
0.6%
-29 104
 
0.6%
-32 102
 
0.6%
-37 102
 
0.6%
-27 102
 
0.6%
Other values (1486) 17279
94.1%
ValueCountFrequency (%)
-4166 1
< 0.1%
-3802 1
< 0.1%
-3062 1
< 0.1%
-2588 1
< 0.1%
-2574 1
< 0.1%
ValueCountFrequency (%)
4744 1
< 0.1%
3397 1
< 0.1%
3208 1
< 0.1%
3079 1
< 0.1%
3053 1
< 0.1%

TS_70
Real number (ℝ)

Distinct1461
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.782906913
Minimum-3654
Maximum4573
Zeros172
Zeros (%)0.9%
Negative9879
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:12.329702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3654
5-th percentile-218.55
Q1-62
median-9
Q360
95-th percentile295
Maximum4573
Range8227
Interquartile range (IQR)122

Descriptive statistics

Standard deviation221.2754702
Coefficient of variation (CV)25.19387628
Kurtosis43.05741509
Mean8.782906913
Median Absolute Deviation (MAD)60
Skewness1.363766579
Sum161342
Variance48962.8337
MonotonicityNot monotonic
2023-01-04T23:37:12.625702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
 
0.9%
-28 118
 
0.6%
-21 106
 
0.6%
-22 105
 
0.6%
-12 102
 
0.6%
-34 101
 
0.5%
-29 101
 
0.5%
18 100
 
0.5%
-23 100
 
0.5%
-24 99
 
0.5%
Other values (1451) 17266
94.0%
ValueCountFrequency (%)
-3654 1
< 0.1%
-3234 1
< 0.1%
-2800 1
< 0.1%
-2047 1
< 0.1%
-2015 1
< 0.1%
ValueCountFrequency (%)
4573 1
< 0.1%
3547 1
< 0.1%
3534 1
< 0.1%
3326 1
< 0.1%
2532 1
< 0.1%

TS_71
Real number (ℝ)

Distinct1447
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.775993468
Minimum-4087
Maximum4406
Zeros166
Zeros (%)0.9%
Negative9879
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:12.969705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4087
5-th percentile-215.55
Q1-62
median-8
Q360
95-th percentile297
Maximum4406
Range8493
Interquartile range (IQR)122

Descriptive statistics

Standard deviation221.7036932
Coefficient of variation (CV)22.67837984
Kurtosis48.96115542
Mean9.775993468
Median Absolute Deviation (MAD)60
Skewness1.44389412
Sum179585
Variance49152.52759
MonotonicityNot monotonic
2023-01-04T23:37:13.303703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
 
0.9%
-45 107
 
0.6%
-24 105
 
0.6%
-28 105
 
0.6%
-13 105
 
0.6%
-43 104
 
0.6%
-22 103
 
0.6%
-4 102
 
0.6%
-18 102
 
0.6%
-10 101
 
0.5%
Other values (1437) 17270
94.0%
ValueCountFrequency (%)
-4087 1
< 0.1%
-3556 1
< 0.1%
-2405 1
< 0.1%
-2247 1
< 0.1%
-2235 1
< 0.1%
ValueCountFrequency (%)
4406 1
< 0.1%
4314 1
< 0.1%
3602 1
< 0.1%
2914 1
< 0.1%
2694 1
< 0.1%

TS_72
Real number (ℝ)

Distinct1431
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.26722918
Minimum-2841
Maximum4368
Zeros166
Zeros (%)0.9%
Negative9832
Negative (%)53.5%
Memory size143.6 KiB
2023-01-04T23:37:13.603702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2841
5-th percentile-212
Q1-62
median-9
Q361
95-th percentile299
Maximum4368
Range7209
Interquartile range (IQR)123

Descriptive statistics

Standard deviation217.9017254
Coefficient of variation (CV)19.33942426
Kurtosis45.40967282
Mean11.26722918
Median Absolute Deviation (MAD)60
Skewness2.276612247
Sum206979
Variance47481.16191
MonotonicityNot monotonic
2023-01-04T23:37:13.916703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
 
0.9%
-14 111
 
0.6%
-32 109
 
0.6%
-17 105
 
0.6%
-9 104
 
0.6%
-40 102
 
0.6%
-31 102
 
0.6%
-36 102
 
0.6%
-24 100
 
0.5%
-2 99
 
0.5%
Other values (1421) 17270
94.0%
ValueCountFrequency (%)
-2841 1
< 0.1%
-2646 1
< 0.1%
-2356 1
< 0.1%
-2021 1
< 0.1%
-1975 1
< 0.1%
ValueCountFrequency (%)
4368 1
< 0.1%
4225 1
< 0.1%
3809 1
< 0.1%
3461 1
< 0.1%
3418 1
< 0.1%

TS_73
Real number (ℝ)

Distinct1494
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.45405553
Minimum-3177
Maximum6317
Zeros140
Zeros (%)0.8%
Negative9857
Negative (%)53.7%
Memory size143.6 KiB
2023-01-04T23:37:14.366703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3177
5-th percentile-214
Q1-62
median-8
Q361
95-th percentile306
Maximum6317
Range9494
Interquartile range (IQR)123

Descriptive statistics

Standard deviation228.2457533
Coefficient of variation (CV)18.3270223
Kurtosis64.44650147
Mean12.45405553
Median Absolute Deviation (MAD)60
Skewness2.827911919
Sum228781
Variance52096.12389
MonotonicityNot monotonic
2023-01-04T23:37:14.689235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 140
 
0.8%
-25 113
 
0.6%
-18 106
 
0.6%
-13 106
 
0.6%
10 105
 
0.6%
-26 104
 
0.6%
-31 103
 
0.6%
-20 102
 
0.6%
-30 101
 
0.5%
-17 100
 
0.5%
Other values (1484) 17290
94.1%
ValueCountFrequency (%)
-3177 1
< 0.1%
-2215 1
< 0.1%
-2136 1
< 0.1%
-2102 1
< 0.1%
-2032 1
< 0.1%
ValueCountFrequency (%)
6317 1
< 0.1%
4216 1
< 0.1%
3571 1
< 0.1%
3457 1
< 0.1%
3285 1
< 0.1%

TS_74
Real number (ℝ)

Distinct1465
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.24882961
Minimum-2959
Maximum6297
Zeros166
Zeros (%)0.9%
Negative9945
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:15.030233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2959
5-th percentile-211
Q1-63
median-9
Q360
95-th percentile302
Maximum6297
Range9256
Interquartile range (IQR)123

Descriptive statistics

Standard deviation227.6142677
Coefficient of variation (CV)22.20880591
Kurtosis73.4222222
Mean10.24882961
Median Absolute Deviation (MAD)61
Skewness3.018787172
Sum188271
Variance51808.25486
MonotonicityNot monotonic
2023-01-04T23:37:15.382231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
 
0.9%
-25 115
 
0.6%
-24 105
 
0.6%
-35 105
 
0.6%
-29 104
 
0.6%
-18 100
 
0.5%
-19 98
 
0.5%
-32 98
 
0.5%
-22 97
 
0.5%
-5 96
 
0.5%
Other values (1455) 17286
94.1%
ValueCountFrequency (%)
-2959 1
< 0.1%
-2611 1
< 0.1%
-2379 1
< 0.1%
-2309 1
< 0.1%
-2077 1
< 0.1%
ValueCountFrequency (%)
6297 1
< 0.1%
4744 1
< 0.1%
4160 1
< 0.1%
3523 1
< 0.1%
3064 1
< 0.1%

TS_75
Real number (ℝ)

Distinct1486
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.713718019
Minimum-3612
Maximum4419
Zeros164
Zeros (%)0.9%
Negative9941
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:15.731235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3612
5-th percentile-220
Q1-63
median-9
Q358
95-th percentile301.55
Maximum4419
Range8031
Interquartile range (IQR)121

Descriptive statistics

Standard deviation229.5703267
Coefficient of variation (CV)26.34585216
Kurtosis44.70566794
Mean8.713718019
Median Absolute Deviation (MAD)60
Skewness1.352821196
Sum160071
Variance52702.53489
MonotonicityNot monotonic
2023-01-04T23:37:16.085232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
0.9%
-21 121
 
0.7%
-22 112
 
0.6%
-31 108
 
0.6%
-10 105
 
0.6%
-15 101
 
0.5%
-1 100
 
0.5%
-8 98
 
0.5%
-30 98
 
0.5%
-45 98
 
0.5%
Other values (1476) 17265
94.0%
ValueCountFrequency (%)
-3612 1
< 0.1%
-3185 1
< 0.1%
-3042 1
< 0.1%
-2826 1
< 0.1%
-2674 1
< 0.1%
ValueCountFrequency (%)
4419 1
< 0.1%
3813 1
< 0.1%
3483 1
< 0.1%
3301 1
< 0.1%
2936 1
< 0.1%

TS_76
Real number (ℝ)

Distinct1479
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.632117583
Minimum-3822
Maximum4086
Zeros178
Zeros (%)1.0%
Negative9977
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:16.481235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3822
5-th percentile-220
Q1-63
median-9
Q359
95-th percentile297
Maximum4086
Range7908
Interquartile range (IQR)122

Descriptive statistics

Standard deviation222.9902713
Coefficient of variation (CV)29.21735271
Kurtosis46.13729333
Mean7.632117583
Median Absolute Deviation (MAD)60
Skewness0.1498521654
Sum140202
Variance49724.66111
MonotonicityNot monotonic
2023-01-04T23:37:16.824232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
1.0%
-26 111
 
0.6%
-30 108
 
0.6%
-6 101
 
0.5%
-21 101
 
0.5%
-15 101
 
0.5%
-45 99
 
0.5%
-28 99
 
0.5%
-46 98
 
0.5%
-22 98
 
0.5%
Other values (1469) 17276
94.0%
ValueCountFrequency (%)
-3822 1
< 0.1%
-3807 1
< 0.1%
-3442 1
< 0.1%
-3342 1
< 0.1%
-3217 1
< 0.1%
ValueCountFrequency (%)
4086 1
< 0.1%
3378 1
< 0.1%
2930 1
< 0.1%
2649 1
< 0.1%
2504 1
< 0.1%

TS_77
Real number (ℝ)

Distinct1456
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.865650517
Minimum-5452
Maximum5253
Zeros174
Zeros (%)0.9%
Negative9996
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:37:17.168231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5452
5-th percentile-224
Q1-63
median-10
Q358
95-th percentile293
Maximum5253
Range10705
Interquartile range (IQR)121

Descriptive statistics

Standard deviation227.4543998
Coefficient of variation (CV)33.12932973
Kurtosis65.2339053
Mean6.865650517
Median Absolute Deviation (MAD)59
Skewness-0.1435348234
Sum126122
Variance51735.50397
MonotonicityNot monotonic
2023-01-04T23:37:17.473232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
0.9%
-10 115
 
0.6%
-33 114
 
0.6%
-24 113
 
0.6%
-6 112
 
0.6%
-36 104
 
0.6%
-32 103
 
0.6%
-42 102
 
0.6%
-35 101
 
0.5%
-37 101
 
0.5%
Other values (1446) 17231
93.8%
ValueCountFrequency (%)
-5452 1
< 0.1%
-3973 1
< 0.1%
-3751 1
< 0.1%
-3477 1
< 0.1%
-2772 1
< 0.1%
ValueCountFrequency (%)
5253 1
< 0.1%
2969 1
< 0.1%
2768 1
< 0.1%
2596 1
< 0.1%
2049 1
< 0.1%

TS_78
Real number (ℝ)

Distinct1460
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.761295591
Minimum-3828
Maximum5187
Zeros156
Zeros (%)0.8%
Negative9917
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:37:17.797231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3828
5-th percentile-220
Q1-62
median-9
Q358
95-th percentile289.55
Maximum5187
Range9015
Interquartile range (IQR)120

Descriptive statistics

Standard deviation224.605657
Coefficient of variation (CV)28.93919634
Kurtosis50.51938713
Mean7.761295591
Median Absolute Deviation (MAD)59
Skewness0.7555682753
Sum142575
Variance50447.70114
MonotonicityNot monotonic
2023-01-04T23:37:18.184238image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 156
 
0.8%
-17 113
 
0.6%
-21 103
 
0.6%
-8 103
 
0.6%
-16 102
 
0.6%
-33 101
 
0.5%
-25 101
 
0.5%
-7 100
 
0.5%
-40 99
 
0.5%
-30 98
 
0.5%
Other values (1450) 17294
94.1%
ValueCountFrequency (%)
-3828 1
< 0.1%
-3658 1
< 0.1%
-3538 1
< 0.1%
-2580 1
< 0.1%
-2568 1
< 0.1%
ValueCountFrequency (%)
5187 1
< 0.1%
3604 1
< 0.1%
2659 1
< 0.1%
2573 1
< 0.1%
2215 1
< 0.1%

TS_79
Real number (ℝ)

Distinct1425
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.199782254
Minimum-3718
Maximum4564
Zeros186
Zeros (%)1.0%
Negative9828
Negative (%)53.5%
Memory size143.6 KiB
2023-01-04T23:37:18.526231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3718
5-th percentile-218.55
Q1-62
median-8
Q359
95-th percentile289
Maximum4564
Range8282
Interquartile range (IQR)121

Descriptive statistics

Standard deviation218.4780323
Coefficient of variation (CV)26.64437
Kurtosis45.41832127
Mean8.199782254
Median Absolute Deviation (MAD)60
Skewness0.669244231
Sum150630
Variance47732.6506
MonotonicityNot monotonic
2023-01-04T23:37:18.854234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
 
1.0%
-39 111
 
0.6%
-28 107
 
0.6%
-21 106
 
0.6%
-20 104
 
0.6%
-7 104
 
0.6%
-31 100
 
0.5%
-25 100
 
0.5%
-26 100
 
0.5%
-12 97
 
0.5%
Other values (1415) 17255
93.9%
ValueCountFrequency (%)
-3718 1
< 0.1%
-3618 1
< 0.1%
-3154 1
< 0.1%
-3084 1
< 0.1%
-2668 1
< 0.1%
ValueCountFrequency (%)
4564 1
< 0.1%
2896 1
< 0.1%
2833 1
< 0.1%
2674 1
< 0.1%
2657 1
< 0.1%

TS_80
Real number (ℝ)

Distinct1480
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.59961894
Minimum-6184
Maximum3357
Zeros179
Zeros (%)1.0%
Negative9801
Negative (%)53.4%
Memory size143.6 KiB
2023-01-04T23:37:19.170233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6184
5-th percentile-217
Q1-61
median-8
Q360
95-th percentile305
Maximum3357
Range9541
Interquartile range (IQR)121

Descriptive statistics

Standard deviation238.4828321
Coefficient of variation (CV)22.4991892
Kurtosis82.65480784
Mean10.59961894
Median Absolute Deviation (MAD)59
Skewness-1.72507573
Sum194715
Variance56874.0612
MonotonicityNot monotonic
2023-01-04T23:37:19.487234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-33 118
 
0.6%
-17 117
 
0.6%
-19 110
 
0.6%
-23 110
 
0.6%
-13 107
 
0.6%
-35 106
 
0.6%
-32 104
 
0.6%
-29 104
 
0.6%
-43 103
 
0.6%
Other values (1470) 17212
93.7%
ValueCountFrequency (%)
-6184 1
< 0.1%
-5261 1
< 0.1%
-4795 1
< 0.1%
-4692 1
< 0.1%
-3806 1
< 0.1%
ValueCountFrequency (%)
3357 1
< 0.1%
2963 1
< 0.1%
2699 1
< 0.1%
2630 1
< 0.1%
2623 1
< 0.1%

TS_81
Real number (ℝ)

Distinct1464
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.884648884
Minimum-5330
Maximum3153
Zeros170
Zeros (%)0.9%
Negative9828
Negative (%)53.5%
Memory size143.6 KiB
2023-01-04T23:37:19.886232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5330
5-th percentile-223
Q1-62
median-8
Q360
95-th percentile295.55
Maximum3153
Range8483
Interquartile range (IQR)122

Descriptive statistics

Standard deviation229.4655466
Coefficient of variation (CV)29.10282372
Kurtosis57.14732471
Mean7.884648884
Median Absolute Deviation (MAD)60
Skewness-0.5622302055
Sum144841
Variance52654.43707
MonotonicityNot monotonic
2023-01-04T23:37:20.414238image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-11 103
 
0.6%
-26 103
 
0.6%
-27 101
 
0.5%
-31 101
 
0.5%
-9 101
 
0.5%
-20 100
 
0.5%
-32 100
 
0.5%
23 98
 
0.5%
-6 98
 
0.5%
Other values (1454) 17295
94.1%
ValueCountFrequency (%)
-5330 1
< 0.1%
-4791 1
< 0.1%
-2958 1
< 0.1%
-2726 1
< 0.1%
-2660 1
< 0.1%
ValueCountFrequency (%)
3153 1
< 0.1%
3083 1
< 0.1%
3078 1
< 0.1%
3055 1
< 0.1%
2759 1
< 0.1%

TS_82
Real number (ℝ)

Distinct1473
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.183451279
Minimum-4460
Maximum3207
Zeros161
Zeros (%)0.9%
Negative9886
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:20.858235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4460
5-th percentile-219
Q1-62
median-9
Q359
95-th percentile305
Maximum3207
Range7667
Interquartile range (IQR)121

Descriptive statistics

Standard deviation221.0166092
Coefficient of variation (CV)27.00775036
Kurtosis36.18245679
Mean8.183451279
Median Absolute Deviation (MAD)60
Skewness0.5273281311
Sum150330
Variance48848.34154
MonotonicityNot monotonic
2023-01-04T23:37:21.224234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
 
0.9%
-26 112
 
0.6%
-20 107
 
0.6%
-27 105
 
0.6%
-34 104
 
0.6%
-22 103
 
0.6%
-25 101
 
0.5%
-16 101
 
0.5%
-17 99
 
0.5%
-49 99
 
0.5%
Other values (1463) 17278
94.1%
ValueCountFrequency (%)
-4460 1
< 0.1%
-2835 1
< 0.1%
-2553 1
< 0.1%
-2262 1
< 0.1%
-2248 1
< 0.1%
ValueCountFrequency (%)
3207 1
< 0.1%
3061 1
< 0.1%
3017 1
< 0.1%
2695 1
< 0.1%
2645 1
< 0.1%

TS_83
Real number (ℝ)

Distinct1462
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.61480675
Minimum-3446
Maximum2972
Zeros139
Zeros (%)0.8%
Negative9998
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:37:21.603232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3446
5-th percentile-220
Q1-64
median-10
Q359
95-th percentile300
Maximum2972
Range6418
Interquartile range (IQR)123

Descriptive statistics

Standard deviation218.0383024
Coefficient of variation (CV)32.96215757
Kurtosis27.73095034
Mean6.61480675
Median Absolute Deviation (MAD)60
Skewness0.3544054358
Sum121514
Variance47540.70131
MonotonicityNot monotonic
2023-01-04T23:37:21.957236image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 139
 
0.8%
-15 112
 
0.6%
-20 101
 
0.5%
-31 100
 
0.5%
-14 100
 
0.5%
-9 99
 
0.5%
-29 99
 
0.5%
-24 99
 
0.5%
-22 98
 
0.5%
-12 98
 
0.5%
Other values (1452) 17325
94.3%
ValueCountFrequency (%)
-3446 1
< 0.1%
-2770 2
< 0.1%
-2475 1
< 0.1%
-2322 1
< 0.1%
-2226 1
< 0.1%
ValueCountFrequency (%)
2972 1
< 0.1%
2823 1
< 0.1%
2291 1
< 0.1%
1891 1
< 0.1%
1853 1
< 0.1%

TS_84
Real number (ℝ)

Distinct1454
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.533641807
Minimum-3127
Maximum3665
Zeros164
Zeros (%)0.9%
Negative9976
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:22.430231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3127
5-th percentile-214
Q1-63
median-10
Q359
95-th percentile297.55
Maximum3665
Range6792
Interquartile range (IQR)122

Descriptive statistics

Standard deviation219.4797706
Coefficient of variation (CV)25.71935588
Kurtosis31.04868653
Mean8.533641807
Median Absolute Deviation (MAD)60
Skewness0.5953986553
Sum156763
Variance48171.36968
MonotonicityNot monotonic
2023-01-04T23:37:22.737232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
0.9%
-27 113
 
0.6%
-31 112
 
0.6%
-21 111
 
0.6%
-23 109
 
0.6%
-19 107
 
0.6%
-36 105
 
0.6%
-29 104
 
0.6%
-26 103
 
0.6%
-22 102
 
0.6%
Other values (1444) 17240
93.8%
ValueCountFrequency (%)
-3127 1
< 0.1%
-2809 1
< 0.1%
-2588 1
< 0.1%
-2361 1
< 0.1%
-2327 1
< 0.1%
ValueCountFrequency (%)
3665 1
< 0.1%
3409 1
< 0.1%
2726 1
< 0.1%
2133 1
< 0.1%
2116 1
< 0.1%

TS_85
Real number (ℝ)

Distinct1459
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.220250408
Minimum-2869
Maximum3361
Zeros170
Zeros (%)0.9%
Negative9937
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:23.310231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2869
5-th percentile-223.55
Q1-62
median-9
Q358
95-th percentile295.55
Maximum3361
Range6230
Interquartile range (IQR)120

Descriptive statistics

Standard deviation217.5743183
Coefficient of variation (CV)30.13390201
Kurtosis25.80139057
Mean7.220250408
Median Absolute Deviation (MAD)59
Skewness0.6107289278
Sum132636
Variance47338.58397
MonotonicityNot monotonic
2023-01-04T23:37:23.680231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-15 111
 
0.6%
-4 103
 
0.6%
-25 103
 
0.6%
-27 100
 
0.5%
-13 100
 
0.5%
-17 100
 
0.5%
-23 100
 
0.5%
-22 98
 
0.5%
-16 98
 
0.5%
Other values (1449) 17287
94.1%
ValueCountFrequency (%)
-2869 1
< 0.1%
-2411 1
< 0.1%
-2245 1
< 0.1%
-2078 1
< 0.1%
-1980 1
< 0.1%
ValueCountFrequency (%)
3361 1
< 0.1%
2553 1
< 0.1%
2513 1
< 0.1%
2458 1
< 0.1%
2154 1
< 0.1%

TS_86
Real number (ℝ)

Distinct1437
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.932226456
Minimum-6127
Maximum2988
Zeros153
Zeros (%)0.8%
Negative10036
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:37:24.045232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6127
5-th percentile-218
Q1-63
median-10
Q357
95-th percentile287
Maximum2988
Range9115
Interquartile range (IQR)120

Descriptive statistics

Standard deviation219.0453016
Coefficient of variation (CV)36.92463585
Kurtosis61.34060534
Mean5.932226456
Median Absolute Deviation (MAD)59
Skewness-1.084896242
Sum108975
Variance47980.84417
MonotonicityNot monotonic
2023-01-04T23:37:24.378232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153
 
0.8%
-19 116
 
0.6%
-15 108
 
0.6%
-27 107
 
0.6%
-25 107
 
0.6%
-24 104
 
0.6%
-37 104
 
0.6%
-5 104
 
0.6%
-40 102
 
0.6%
-30 102
 
0.6%
Other values (1427) 17263
94.0%
ValueCountFrequency (%)
-6127 1
< 0.1%
-3942 1
< 0.1%
-2666 1
< 0.1%
-2599 1
< 0.1%
-2561 1
< 0.1%
ValueCountFrequency (%)
2988 1
< 0.1%
2730 1
< 0.1%
2374 1
< 0.1%
2188 1
< 0.1%
2187 1
< 0.1%

TS_87
Real number (ℝ)

Distinct1470
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.590038106
Minimum-4884
Maximum2623
Zeros178
Zeros (%)1.0%
Negative10041
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:37:24.690232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4884
5-th percentile-229
Q1-65
median-10
Q357
95-th percentile297
Maximum2623
Range7507
Interquartile range (IQR)122

Descriptive statistics

Standard deviation226.9828037
Coefficient of variation (CV)63.22573662
Kurtosis46.80861161
Mean3.590038106
Median Absolute Deviation (MAD)60
Skewness-1.351136838
Sum65949
Variance51521.19318
MonotonicityNot monotonic
2023-01-04T23:37:25.013232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
1.0%
-22 116
 
0.6%
-19 109
 
0.6%
-11 109
 
0.6%
-33 108
 
0.6%
-31 106
 
0.6%
-14 105
 
0.6%
-15 104
 
0.6%
-28 103
 
0.6%
-16 102
 
0.6%
Other values (1460) 17230
93.8%
ValueCountFrequency (%)
-4884 1
< 0.1%
-4086 1
< 0.1%
-3787 1
< 0.1%
-3516 1
< 0.1%
-3063 1
< 0.1%
ValueCountFrequency (%)
2623 1
< 0.1%
2345 1
< 0.1%
2275 1
< 0.1%
2193 1
< 0.1%
2160 1
< 0.1%

TS_88
Real number (ℝ)

Distinct1479
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.552803484
Minimum-2803
Maximum2520
Zeros175
Zeros (%)1.0%
Negative10036
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:37:25.349232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2803
5-th percentile-220
Q1-64
median-11
Q357
95-th percentile296.55
Maximum2520
Range5323
Interquartile range (IQR)121

Descriptive statistics

Standard deviation221.084365
Coefficient of variation (CV)33.73889748
Kurtosis25.43434679
Mean6.552803484
Median Absolute Deviation (MAD)60
Skewness0.2287324806
Sum120375
Variance48878.29644
MonotonicityNot monotonic
2023-01-04T23:37:25.708236image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
 
1.0%
-12 115
 
0.6%
-28 111
 
0.6%
-25 110
 
0.6%
-24 110
 
0.6%
-17 109
 
0.6%
-37 106
 
0.6%
-21 104
 
0.6%
-19 103
 
0.6%
-27 100
 
0.5%
Other values (1469) 17227
93.8%
ValueCountFrequency (%)
-2803 1
< 0.1%
-2770 1
< 0.1%
-2609 1
< 0.1%
-2429 1
< 0.1%
-2302 1
< 0.1%
ValueCountFrequency (%)
2520 1
< 0.1%
2511 1
< 0.1%
2256 1
< 0.1%
2126 1
< 0.1%
2115 1
< 0.1%

TS_89
Real number (ℝ)

Distinct1448
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.157376157
Minimum-4124
Maximum3460
Zeros165
Zeros (%)0.9%
Negative9972
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:26.052233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4124
5-th percentile-219
Q1-64
median-10
Q359
95-th percentile303
Maximum3460
Range7584
Interquartile range (IQR)123

Descriptive statistics

Standard deviation220.4983226
Coefficient of variation (CV)30.80714465
Kurtosis35.79605936
Mean7.157376157
Median Absolute Deviation (MAD)60
Skewness0.5007544008
Sum131481
Variance48619.51026
MonotonicityNot monotonic
2023-01-04T23:37:26.528230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
 
0.9%
-21 117
 
0.6%
-17 113
 
0.6%
-26 110
 
0.6%
-33 103
 
0.6%
-24 102
 
0.6%
-38 101
 
0.5%
-32 99
 
0.5%
-29 99
 
0.5%
-3 98
 
0.5%
Other values (1438) 17263
94.0%
ValueCountFrequency (%)
-4124 1
< 0.1%
-2832 1
< 0.1%
-2676 1
< 0.1%
-2394 1
< 0.1%
-2214 1
< 0.1%
ValueCountFrequency (%)
3460 1
< 0.1%
3138 1
< 0.1%
2842 1
< 0.1%
2668 1
< 0.1%
2422 1
< 0.1%

TS_90
Real number (ℝ)

Distinct1455
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.360370169
Minimum-5453
Maximum4235
Zeros174
Zeros (%)0.9%
Negative9994
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:37:26.874232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5453
5-th percentile-222
Q1-64
median-10
Q359
95-th percentile298
Maximum4235
Range9688
Interquartile range (IQR)123

Descriptive statistics

Standard deviation226.5735154
Coefficient of variation (CV)35.62269323
Kurtosis57.20777358
Mean6.360370169
Median Absolute Deviation (MAD)60
Skewness-0.1468826502
Sum116840
Variance51335.55786
MonotonicityNot monotonic
2023-01-04T23:37:27.413232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
0.9%
-21 119
 
0.6%
-25 108
 
0.6%
-28 106
 
0.6%
-39 106
 
0.6%
-19 104
 
0.6%
-43 103
 
0.6%
-10 102
 
0.6%
-18 100
 
0.5%
-23 100
 
0.5%
Other values (1445) 17248
93.9%
ValueCountFrequency (%)
-5453 1
< 0.1%
-3891 1
< 0.1%
-3337 1
< 0.1%
-2582 1
< 0.1%
-2508 1
< 0.1%
ValueCountFrequency (%)
4235 1
< 0.1%
3952 1
< 0.1%
3147 1
< 0.1%
2692 1
< 0.1%
2457 1
< 0.1%

TS_91
Real number (ℝ)

Distinct1484
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.339303212
Minimum-4925
Maximum4750
Zeros176
Zeros (%)1.0%
Negative9965
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:37:27.728232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4925
5-th percentile-223.55
Q1-63
median-10
Q357
95-th percentile292
Maximum4750
Range9675
Interquartile range (IQR)120

Descriptive statistics

Standard deviation224.0913788
Coefficient of variation (CV)41.97015414
Kurtosis53.97849146
Mean5.339303212
Median Absolute Deviation (MAD)59
Skewness-0.1853455649
Sum98083
Variance50216.94606
MonotonicityNot monotonic
2023-01-04T23:37:28.043230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
1.0%
-24 104
 
0.6%
-14 103
 
0.6%
-36 102
 
0.6%
-40 99
 
0.5%
5 99
 
0.5%
-26 98
 
0.5%
-12 98
 
0.5%
-22 98
 
0.5%
-5 97
 
0.5%
Other values (1474) 17296
94.2%
ValueCountFrequency (%)
-4925 1
< 0.1%
-3858 1
< 0.1%
-3746 1
< 0.1%
-3285 1
< 0.1%
-2842 1
< 0.1%
ValueCountFrequency (%)
4750 1
< 0.1%
2928 1
< 0.1%
2448 1
< 0.1%
2415 1
< 0.1%
2303 1
< 0.1%

TS_92
Real number (ℝ)

Distinct1462
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.260370169
Minimum-4388
Maximum4593
Zeros162
Zeros (%)0.9%
Negative10014
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:37:28.370234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4388
5-th percentile-220
Q1-62
median-10
Q358
95-th percentile295
Maximum4593
Range8981
Interquartile range (IQR)120

Descriptive statistics

Standard deviation224.6384842
Coefficient of variation (CV)30.9403624
Kurtosis51.6207123
Mean7.260370169
Median Absolute Deviation (MAD)59
Skewness0.2356220746
Sum133373
Variance50462.44856
MonotonicityNot monotonic
2023-01-04T23:37:28.663231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
0.9%
-5 108
 
0.6%
-36 107
 
0.6%
-13 107
 
0.6%
-52 107
 
0.6%
-18 105
 
0.6%
-12 105
 
0.6%
-21 104
 
0.6%
-39 104
 
0.6%
-48 104
 
0.6%
Other values (1452) 17257
93.9%
ValueCountFrequency (%)
-4388 1
< 0.1%
-3989 1
< 0.1%
-3693 1
< 0.1%
-3346 1
< 0.1%
-2953 1
< 0.1%
ValueCountFrequency (%)
4593 1
< 0.1%
3162 1
< 0.1%
3138 1
< 0.1%
3029 1
< 0.1%
2851 1
< 0.1%

TS_93
Real number (ℝ)

Distinct1441
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.896516059
Minimum-3830
Maximum4118
Zeros161
Zeros (%)0.9%
Negative10031
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:37:28.991240image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3830
5-th percentile-215
Q1-62
median-10
Q359
95-th percentile288
Maximum4118
Range7948
Interquartile range (IQR)121

Descriptive statistics

Standard deviation217.7983436
Coefficient of variation (CV)27.5815742
Kurtosis41.63037527
Mean7.896516059
Median Absolute Deviation (MAD)59
Skewness0.6359170639
Sum145059
Variance47436.11848
MonotonicityNot monotonic
2023-01-04T23:37:29.340232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
 
0.9%
-27 120
 
0.7%
-39 108
 
0.6%
-13 108
 
0.6%
-7 106
 
0.6%
-9 106
 
0.6%
-20 104
 
0.6%
-11 102
 
0.6%
-36 101
 
0.5%
-25 101
 
0.5%
Other values (1431) 17253
93.9%
ValueCountFrequency (%)
-3830 1
< 0.1%
-3215 1
< 0.1%
-3121 1
< 0.1%
-3102 1
< 0.1%
-2796 1
< 0.1%
ValueCountFrequency (%)
4118 1
< 0.1%
3133 1
< 0.1%
2939 1
< 0.1%
2427 1
< 0.1%
2243 1
< 0.1%

TS_94
Real number (ℝ)

Distinct1456
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.946706587
Minimum-4350
Maximum3768
Zeros176
Zeros (%)1.0%
Negative9997
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:37:29.660239image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4350
5-th percentile-214
Q1-63
median-10
Q358
95-th percentile287
Maximum3768
Range8118
Interquartile range (IQR)121

Descriptive statistics

Standard deviation222.8821402
Coefficient of variation (CV)28.04710829
Kurtosis50.2301828
Mean7.946706587
Median Absolute Deviation (MAD)59
Skewness0.09469944266
Sum145981
Variance49676.44841
MonotonicityNot monotonic
2023-01-04T23:37:29.974237image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
1.0%
-33 111
 
0.6%
-37 106
 
0.6%
-43 104
 
0.6%
-31 103
 
0.6%
-34 103
 
0.6%
-15 101
 
0.5%
-32 101
 
0.5%
-23 100
 
0.5%
-24 98
 
0.5%
Other values (1446) 17267
94.0%
ValueCountFrequency (%)
-4350 1
< 0.1%
-4029 1
< 0.1%
-3812 1
< 0.1%
-3494 1
< 0.1%
-2874 1
< 0.1%
ValueCountFrequency (%)
3768 1
< 0.1%
3619 1
< 0.1%
3037 1
< 0.1%
2797 1
< 0.1%
2033 1
< 0.1%

TS_95
Real number (ℝ)

Distinct1429
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.993358737
Minimum-5822
Maximum3546
Zeros179
Zeros (%)1.0%
Negative9933
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:30.451235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5822
5-th percentile-215
Q1-63
median-9
Q357
95-th percentile282
Maximum3546
Range9368
Interquartile range (IQR)120

Descriptive statistics

Standard deviation219.5954033
Coefficient of variation (CV)43.97749389
Kurtosis67.62545363
Mean4.993358737
Median Absolute Deviation (MAD)59
Skewness-1.466601534
Sum91728
Variance48222.14117
MonotonicityNot monotonic
2023-01-04T23:37:30.776233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-12 110
 
0.6%
-41 106
 
0.6%
-17 101
 
0.5%
-21 101
 
0.5%
-2 101
 
0.5%
-32 101
 
0.5%
-39 100
 
0.5%
-8 99
 
0.5%
-7 99
 
0.5%
Other values (1419) 17273
94.0%
ValueCountFrequency (%)
-5822 1
< 0.1%
-3545 1
< 0.1%
-3457 1
< 0.1%
-3377 1
< 0.1%
-3326 1
< 0.1%
ValueCountFrequency (%)
3546 1
< 0.1%
3279 1
< 0.1%
2206 1
< 0.1%
2070 1
< 0.1%
2018 1
< 0.1%

TS_96
Real number (ℝ)

Distinct1458
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.595264017
Minimum-6547
Maximum3586
Zeros160
Zeros (%)0.9%
Negative9939
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:31.106233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6547
5-th percentile-221
Q1-62
median-9
Q357
95-th percentile291.55
Maximum3586
Range10133
Interquartile range (IQR)119

Descriptive statistics

Standard deviation228.0092185
Coefficient of variation (CV)30.01992004
Kurtosis75.67716102
Mean7.595264017
Median Absolute Deviation (MAD)59
Skewness-0.8655965155
Sum139525
Variance51988.2037
MonotonicityNot monotonic
2023-01-04T23:37:31.431235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-16 108
 
0.6%
-23 107
 
0.6%
-37 103
 
0.6%
-22 103
 
0.6%
-19 103
 
0.6%
-32 102
 
0.6%
-24 101
 
0.5%
-28 100
 
0.5%
-30 99
 
0.5%
Other values (1448) 17284
94.1%
ValueCountFrequency (%)
-6547 1
< 0.1%
-3796 1
< 0.1%
-3520 1
< 0.1%
-3502 1
< 0.1%
-3450 1
< 0.1%
ValueCountFrequency (%)
3586 1
< 0.1%
3534 1
< 0.1%
3222 1
< 0.1%
2673 1
< 0.1%
2576 1
< 0.1%

TS_97
Real number (ℝ)

Distinct1419
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.382362548
Minimum-4924
Maximum4846
Zeros165
Zeros (%)0.9%
Negative9935
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:31.787232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4924
5-th percentile-212
Q1-63
median-9
Q356
95-th percentile286
Maximum4846
Range9770
Interquartile range (IQR)119

Descriptive statistics

Standard deviation220.5559955
Coefficient of variation (CV)29.87607207
Kurtosis62.14616608
Mean7.382362548
Median Absolute Deviation (MAD)59
Skewness0.4842014121
Sum135614
Variance48644.94715
MonotonicityNot monotonic
2023-01-04T23:37:32.095232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
 
0.9%
-1 113
 
0.6%
-36 108
 
0.6%
-46 105
 
0.6%
-34 102
 
0.6%
-35 102
 
0.6%
-24 102
 
0.6%
-40 100
 
0.5%
-22 99
 
0.5%
-10 99
 
0.5%
Other values (1409) 17275
94.0%
ValueCountFrequency (%)
-4924 1
< 0.1%
-3787 1
< 0.1%
-3012 1
< 0.1%
-2721 1
< 0.1%
-2649 1
< 0.1%
ValueCountFrequency (%)
4846 1
< 0.1%
3774 1
< 0.1%
3700 1
< 0.1%
2688 1
< 0.1%
2621 1
< 0.1%

TS_98
Real number (ℝ)

Distinct1438
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.196352749
Minimum-3481
Maximum4765
Zeros160
Zeros (%)0.9%
Negative10004
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:37:32.413239image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3481
5-th percentile-216
Q1-63
median-10
Q358
95-th percentile291
Maximum4765
Range8246
Interquartile range (IQR)121

Descriptive statistics

Standard deviation215.4914768
Coefficient of variation (CV)29.94454056
Kurtosis43.54867023
Mean7.196352749
Median Absolute Deviation (MAD)59
Skewness0.9365074882
Sum132197
Variance46436.57656
MonotonicityNot monotonic
2023-01-04T23:37:32.683233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-27 107
 
0.6%
-24 107
 
0.6%
-14 106
 
0.6%
-32 104
 
0.6%
-22 104
 
0.6%
-44 102
 
0.6%
-13 102
 
0.6%
-31 101
 
0.5%
-9 99
 
0.5%
Other values (1428) 17278
94.1%
ValueCountFrequency (%)
-3481 1
< 0.1%
-3105 1
< 0.1%
-2675 1
< 0.1%
-2599 1
< 0.1%
-2585 1
< 0.1%
ValueCountFrequency (%)
4765 1
< 0.1%
3600 1
< 0.1%
2337 1
< 0.1%
2324 1
< 0.1%
2225 1
< 0.1%

TS_99
Real number (ℝ)

Distinct1429
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.169733261
Minimum-3056
Maximum2774
Zeros174
Zeros (%)0.9%
Negative9955
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:37:32.987234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3056
5-th percentile-212
Q1-62
median-9
Q358
95-th percentile294
Maximum2774
Range5830
Interquartile range (IQR)120

Descriptive statistics

Standard deviation210.9793831
Coefficient of variation (CV)23.00823559
Kurtosis28.31606185
Mean9.169733261
Median Absolute Deviation (MAD)59
Skewness0.9000581603
Sum168448
Variance44512.30011
MonotonicityNot monotonic
2023-01-04T23:37:33.304231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
0.9%
-4 109
 
0.6%
-16 108
 
0.6%
-36 104
 
0.6%
-42 103
 
0.6%
-24 103
 
0.6%
-1 101
 
0.5%
-11 100
 
0.5%
-39 100
 
0.5%
-6 98
 
0.5%
Other values (1419) 17270
94.0%
ValueCountFrequency (%)
-3056 1
< 0.1%
-2701 1
< 0.1%
-2682 1
< 0.1%
-2569 1
< 0.1%
-2339 1
< 0.1%
ValueCountFrequency (%)
2774 1
< 0.1%
2705 1
< 0.1%
2571 1
< 0.1%
2479 1
< 0.1%
2287 1
< 0.1%

TS_100
Real number (ℝ)

Distinct1413
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.13293413
Minimum-3306
Maximum3308
Zeros176
Zeros (%)1.0%
Negative9874
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:33.603235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3306
5-th percentile-210
Q1-62
median-9
Q360
95-th percentile287.55
Maximum3308
Range6614
Interquartile range (IQR)122

Descriptive statistics

Standard deviation208.524379
Coefficient of variation (CV)20.57887442
Kurtosis32.68703377
Mean10.13293413
Median Absolute Deviation (MAD)59
Skewness1.145749529
Sum186142
Variance43482.41665
MonotonicityNot monotonic
2023-01-04T23:37:33.996233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
1.0%
-31 109
 
0.6%
-30 104
 
0.6%
-42 104
 
0.6%
-20 103
 
0.6%
-10 103
 
0.6%
-25 101
 
0.5%
-39 100
 
0.5%
-23 99
 
0.5%
-9 99
 
0.5%
Other values (1403) 17272
94.0%
ValueCountFrequency (%)
-3306 1
< 0.1%
-2965 1
< 0.1%
-2698 1
< 0.1%
-2285 1
< 0.1%
-2069 1
< 0.1%
ValueCountFrequency (%)
3308 1
< 0.1%
3291 1
< 0.1%
3227 1
< 0.1%
2351 1
< 0.1%
2189 1
< 0.1%

TS_101
Real number (ℝ)

Distinct1408
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.11257485
Minimum-5115
Maximum3722
Zeros145
Zeros (%)0.8%
Negative9906
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:37:34.343233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5115
5-th percentile-207
Q1-61
median-9
Q358
95-th percentile286
Maximum3722
Range8837
Interquartile range (IQR)119

Descriptive statistics

Standard deviation210.7895381
Coefficient of variation (CV)23.1317209
Kurtosis54.58653819
Mean9.11257485
Median Absolute Deviation (MAD)59
Skewness0.1442300509
Sum167398
Variance44432.22936
MonotonicityNot monotonic
2023-01-04T23:37:34.630232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145
 
0.8%
-39 115
 
0.6%
-4 111
 
0.6%
-22 108
 
0.6%
-30 107
 
0.6%
-25 105
 
0.6%
-32 103
 
0.6%
-28 103
 
0.6%
5 103
 
0.6%
-37 98
 
0.5%
Other values (1398) 17272
94.0%
ValueCountFrequency (%)
-5115 1
< 0.1%
-3814 1
< 0.1%
-2940 1
< 0.1%
-2635 1
< 0.1%
-2512 1
< 0.1%
ValueCountFrequency (%)
3722 1
< 0.1%
3209 1
< 0.1%
3116 1
< 0.1%
2278 1
< 0.1%
2265 1
< 0.1%

TS_102
Real number (ℝ)

Distinct1412
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.918018508
Minimum-4783
Maximum5579
Zeros171
Zeros (%)0.9%
Negative9916
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:37:34.977235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4783
5-th percentile-209
Q1-62
median-9
Q358
95-th percentile288
Maximum5579
Range10362
Interquartile range (IQR)120

Descriptive statistics

Standard deviation217.394131
Coefficient of variation (CV)21.91910923
Kurtosis70.33107429
Mean9.918018508
Median Absolute Deviation (MAD)59
Skewness1.448560963
Sum182194
Variance47260.20821
MonotonicityNot monotonic
2023-01-04T23:37:35.299233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 171
 
0.9%
-30 124
 
0.7%
-31 112
 
0.6%
-22 104
 
0.6%
-38 104
 
0.6%
-27 103
 
0.6%
-40 101
 
0.5%
-7 101
 
0.5%
-33 100
 
0.5%
-21 100
 
0.5%
Other values (1402) 17250
93.9%
ValueCountFrequency (%)
-4783 1
< 0.1%
-3119 1
< 0.1%
-3054 1
< 0.1%
-3020 1
< 0.1%
-2627 1
< 0.1%
ValueCountFrequency (%)
5579 1
< 0.1%
3681 1
< 0.1%
3507 1
< 0.1%
3493 1
< 0.1%
2938 1
< 0.1%

TS_103
Real number (ℝ)

Distinct1404
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.3430049
Minimum-6014
Maximum5480
Zeros149
Zeros (%)0.8%
Negative9880
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:35.620238image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6014
5-th percentile-206.55
Q1-61
median-9
Q359
95-th percentile286
Maximum5480
Range11494
Interquartile range (IQR)120

Descriptive statistics

Standard deviation218.1316527
Coefficient of variation (CV)21.08977564
Kurtosis89.65819052
Mean10.3430049
Median Absolute Deviation (MAD)59
Skewness0.3814222856
Sum190001
Variance47581.41792
MonotonicityNot monotonic
2023-01-04T23:37:35.946232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149
 
0.8%
-27 115
 
0.6%
-22 114
 
0.6%
-24 105
 
0.6%
-16 105
 
0.6%
-23 103
 
0.6%
-25 102
 
0.6%
-21 100
 
0.5%
-43 100
 
0.5%
-19 99
 
0.5%
Other values (1394) 17278
94.1%
ValueCountFrequency (%)
-6014 1
< 0.1%
-4653 1
< 0.1%
-2505 1
< 0.1%
-2405 1
< 0.1%
-2278 1
< 0.1%
ValueCountFrequency (%)
5480 1
< 0.1%
3734 1
< 0.1%
3373 1
< 0.1%
2818 1
< 0.1%
2731 1
< 0.1%

TS_104
Real number (ℝ)

Distinct1394
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.319706042
Minimum-2725
Maximum5482
Zeros184
Zeros (%)1.0%
Negative9953
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:37:36.275241image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2725
5-th percentile-206
Q1-62
median-9
Q357
95-th percentile288
Maximum5482
Range8207
Interquartile range (IQR)119

Descriptive statistics

Standard deviation204.2762419
Coefficient of variation (CV)21.91874304
Kurtosis51.6031887
Mean9.319706042
Median Absolute Deviation (MAD)58
Skewness2.065635357
Sum171203
Variance41728.78302
MonotonicityNot monotonic
2023-01-04T23:37:36.580232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 184
 
1.0%
-25 116
 
0.6%
-21 114
 
0.6%
-18 109
 
0.6%
-14 106
 
0.6%
-26 106
 
0.6%
-9 106
 
0.6%
-22 105
 
0.6%
-28 102
 
0.6%
-1 102
 
0.6%
Other values (1384) 17220
93.7%
ValueCountFrequency (%)
-2725 1
< 0.1%
-2395 1
< 0.1%
-2356 1
< 0.1%
-2337 1
< 0.1%
-2154 1
< 0.1%
ValueCountFrequency (%)
5482 1
< 0.1%
2799 1
< 0.1%
2568 1
< 0.1%
2500 1
< 0.1%
2476 1
< 0.1%

TS_105
Real number (ℝ)

Distinct1390
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.103592814
Minimum-3230
Maximum6151
Zeros163
Zeros (%)0.9%
Negative9999
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:37:36.897231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3230
5-th percentile-202
Q1-61
median-10
Q357
95-th percentile285.55
Maximum6151
Range9381
Interquartile range (IQR)118

Descriptive statistics

Standard deviation204.823245
Coefficient of variation (CV)22.4991659
Kurtosis66.95736191
Mean9.103592814
Median Absolute Deviation (MAD)58
Skewness2.230899932
Sum167233
Variance41952.5617
MonotonicityNot monotonic
2023-01-04T23:37:37.192229image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-22 123
 
0.7%
-24 115
 
0.6%
-35 111
 
0.6%
-16 111
 
0.6%
-20 107
 
0.6%
-25 106
 
0.6%
-46 106
 
0.6%
-30 103
 
0.6%
-8 103
 
0.6%
Other values (1380) 17222
93.8%
ValueCountFrequency (%)
-3230 1
< 0.1%
-2420 1
< 0.1%
-2374 1
< 0.1%
-2065 1
< 0.1%
-2059 1
< 0.1%
ValueCountFrequency (%)
6151 1
< 0.1%
2545 1
< 0.1%
2502 1
< 0.1%
2171 1
< 0.1%
2035 1
< 0.1%

TS_106
Real number (ℝ)

Distinct1405
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.208328797
Minimum-3009
Maximum4403
Zeros191
Zeros (%)1.0%
Negative9947
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:37.611231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3009
5-th percentile-209
Q1-61
median-9
Q356
95-th percentile288.55
Maximum4403
Range7412
Interquartile range (IQR)117

Descriptive statistics

Standard deviation207.778261
Coefficient of variation (CV)25.31310162
Kurtosis36.97830934
Mean8.208328797
Median Absolute Deviation (MAD)57
Skewness0.8102292143
Sum150787
Variance43171.80574
MonotonicityNot monotonic
2023-01-04T23:37:37.903233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 191
 
1.0%
-21 111
 
0.6%
-28 107
 
0.6%
-10 106
 
0.6%
-20 104
 
0.6%
-26 103
 
0.6%
-12 103
 
0.6%
-29 103
 
0.6%
-14 102
 
0.6%
-30 102
 
0.6%
Other values (1395) 17238
93.8%
ValueCountFrequency (%)
-3009 1
< 0.1%
-2909 1
< 0.1%
-2786 1
< 0.1%
-2453 1
< 0.1%
-2377 1
< 0.1%
ValueCountFrequency (%)
4403 1
< 0.1%
3073 1
< 0.1%
2405 1
< 0.1%
2099 1
< 0.1%
1893 1
< 0.1%

TS_107
Real number (ℝ)

Distinct1408
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.37817093
Minimum-2683
Maximum4373
Zeros180
Zeros (%)1.0%
Negative9871
Negative (%)53.7%
Memory size143.6 KiB
2023-01-04T23:37:38.251233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2683
5-th percentile-207
Q1-62
median-9
Q358
95-th percentile290
Maximum4373
Range7056
Interquartile range (IQR)120

Descriptive statistics

Standard deviation208.711492
Coefficient of variation (CV)20.11062387
Kurtosis34.90524718
Mean10.37817093
Median Absolute Deviation (MAD)59
Skewness1.67529772
Sum190647
Variance43560.4869
MonotonicityNot monotonic
2023-01-04T23:37:38.584230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
1.0%
-24 114
 
0.6%
-33 108
 
0.6%
-22 106
 
0.6%
-25 105
 
0.6%
-35 105
 
0.6%
2 105
 
0.6%
-20 101
 
0.5%
-13 100
 
0.5%
6 100
 
0.5%
Other values (1398) 17246
93.9%
ValueCountFrequency (%)
-2683 1
< 0.1%
-2360 1
< 0.1%
-2341 1
< 0.1%
-2028 1
< 0.1%
-1936 1
< 0.1%
ValueCountFrequency (%)
4373 1
< 0.1%
3667 1
< 0.1%
2395 1
< 0.1%
2193 1
< 0.1%
2119 1
< 0.1%

TS_108
Real number (ℝ)

Distinct1402
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.748230811
Minimum-2247
Maximum3057
Zeros163
Zeros (%)0.9%
Negative10008
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:37:38.902240image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2247
5-th percentile-218
Q1-62
median-10
Q356
95-th percentile277
Maximum3057
Range5304
Interquartile range (IQR)118

Descriptive statistics

Standard deviation204.2060668
Coefficient of variation (CV)35.5250291
Kurtosis26.85315309
Mean5.748230811
Median Absolute Deviation (MAD)58
Skewness1.125968157
Sum105595
Variance41700.11773
MonotonicityNot monotonic
2023-01-04T23:37:39.231239image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-19 118
 
0.6%
-27 109
 
0.6%
-10 108
 
0.6%
-28 108
 
0.6%
-30 108
 
0.6%
-33 107
 
0.6%
-21 107
 
0.6%
-29 106
 
0.6%
-12 105
 
0.6%
Other values (1392) 17231
93.8%
ValueCountFrequency (%)
-2247 1
< 0.1%
-2176 1
< 0.1%
-2103 1
< 0.1%
-2021 1
< 0.1%
-2019 1
< 0.1%
ValueCountFrequency (%)
3057 1
< 0.1%
2986 1
< 0.1%
2885 1
< 0.1%
2380 1
< 0.1%
2355 1
< 0.1%

TS_109
Real number (ℝ)

Distinct1404
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.664833968
Minimum-4030
Maximum3104
Zeros160
Zeros (%)0.9%
Negative10051
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:37:39.535234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4030
5-th percentile-214
Q1-63
median-10
Q355
95-th percentile280
Maximum3104
Range7134
Interquartile range (IQR)118

Descriptive statistics

Standard deviation208.0180547
Coefficient of variation (CV)31.21128834
Kurtosis35.98567847
Mean6.664833968
Median Absolute Deviation (MAD)58
Skewness0.8437300224
Sum122433
Variance43271.5111
MonotonicityNot monotonic
2023-01-04T23:37:39.839234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-32 105
 
0.6%
-14 105
 
0.6%
-25 104
 
0.6%
-8 104
 
0.6%
-15 104
 
0.6%
-23 104
 
0.6%
-24 104
 
0.6%
-21 103
 
0.6%
-19 103
 
0.6%
Other values (1394) 17274
94.0%
ValueCountFrequency (%)
-4030 1
< 0.1%
-3030 1
< 0.1%
-2595 1
< 0.1%
-2400 1
< 0.1%
-1876 1
< 0.1%
ValueCountFrequency (%)
3104 1
< 0.1%
3016 1
< 0.1%
2865 1
< 0.1%
2708 1
< 0.1%
2541 1
< 0.1%

TS_110
Real number (ℝ)

Distinct1411
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.59156233
Minimum-4324
Maximum4282
Zeros175
Zeros (%)1.0%
Negative9945
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:40.170230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4324
5-th percentile-210.55
Q1-61
median-9
Q358
95-th percentile290
Maximum4282
Range8606
Interquartile range (IQR)119

Descriptive statistics

Standard deviation210.6403933
Coefficient of variation (CV)24.51712333
Kurtosis50.24433618
Mean8.59156233
Median Absolute Deviation (MAD)58
Skewness1.106354761
Sum157827
Variance44369.37528
MonotonicityNot monotonic
2023-01-04T23:37:40.507231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
 
1.0%
-20 113
 
0.6%
-4 112
 
0.6%
-24 109
 
0.6%
-27 109
 
0.6%
-19 109
 
0.6%
-26 109
 
0.6%
-22 106
 
0.6%
-15 104
 
0.6%
-41 103
 
0.6%
Other values (1401) 17221
93.7%
ValueCountFrequency (%)
-4324 1
< 0.1%
-2787 1
< 0.1%
-2775 1
< 0.1%
-2421 1
< 0.1%
-2363 1
< 0.1%
ValueCountFrequency (%)
4282 1
< 0.1%
4212 1
< 0.1%
3150 1
< 0.1%
2481 1
< 0.1%
2340 1
< 0.1%

TS_111
Real number (ℝ)

Distinct1436
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.38241698
Minimum-3786
Maximum4502
Zeros194
Zeros (%)1.1%
Negative9915
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:37:40.838237image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3786
5-th percentile-212
Q1-61
median-8
Q358
95-th percentile294.55
Maximum4502
Range8288
Interquartile range (IQR)119

Descriptive statistics

Standard deviation214.5559419
Coefficient of variation (CV)20.66531735
Kurtosis44.04624431
Mean10.38241698
Median Absolute Deviation (MAD)58
Skewness1.461269909
Sum190725
Variance46034.25219
MonotonicityNot monotonic
2023-01-04T23:37:41.269231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 194
 
1.1%
-17 119
 
0.6%
-3 117
 
0.6%
-20 111
 
0.6%
-11 110
 
0.6%
-23 107
 
0.6%
-27 105
 
0.6%
-25 105
 
0.6%
-33 103
 
0.6%
-7 102
 
0.6%
Other values (1426) 17197
93.6%
ValueCountFrequency (%)
-3786 1
< 0.1%
-2709 1
< 0.1%
-2650 1
< 0.1%
-2497 1
< 0.1%
-2400 1
< 0.1%
ValueCountFrequency (%)
4502 1
< 0.1%
4014 1
< 0.1%
2896 1
< 0.1%
2603 1
< 0.1%
2448 1
< 0.1%

TS_112
Real number (ℝ)

Distinct1385
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.02917801
Minimum-3475
Maximum3776
Zeros169
Zeros (%)0.9%
Negative9823
Negative (%)53.5%
Memory size143.6 KiB
2023-01-04T23:37:41.571233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3475
5-th percentile-201
Q1-61
median-8
Q359
95-th percentile284.55
Maximum3776
Range7251
Interquartile range (IQR)120

Descriptive statistics

Standard deviation205.002238
Coefficient of variation (CV)18.58726352
Kurtosis36.06909082
Mean11.02917801
Median Absolute Deviation (MAD)58
Skewness1.300620391
Sum202606
Variance42025.9176
MonotonicityNot monotonic
2023-01-04T23:37:41.884232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169
 
0.9%
-22 113
 
0.6%
-9 111
 
0.6%
-13 111
 
0.6%
-27 105
 
0.6%
-36 104
 
0.6%
-16 104
 
0.6%
-19 103
 
0.6%
-26 102
 
0.6%
-29 101
 
0.5%
Other values (1375) 17247
93.9%
ValueCountFrequency (%)
-3475 1
< 0.1%
-2780 1
< 0.1%
-2385 1
< 0.1%
-2107 1
< 0.1%
-2070 1
< 0.1%
ValueCountFrequency (%)
3776 1
< 0.1%
3622 1
< 0.1%
2983 1
< 0.1%
2058 1
< 0.1%
1966 1
< 0.1%

TS_113
Real number (ℝ)

Distinct1405
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.419869352
Minimum-2379
Maximum3904
Zeros157
Zeros (%)0.9%
Negative9866
Negative (%)53.7%
Memory size143.6 KiB
2023-01-04T23:37:42.215231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2379
5-th percentile-212
Q1-62
median-8
Q358
95-th percentile285
Maximum3904
Range6283
Interquartile range (IQR)120

Descriptive statistics

Standard deviation207.0245854
Coefficient of variation (CV)21.97743702
Kurtosis30.09067101
Mean9.419869352
Median Absolute Deviation (MAD)59
Skewness1.415705091
Sum173043
Variance42859.17897
MonotonicityNot monotonic
2023-01-04T23:37:42.512231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 157
 
0.9%
-29 111
 
0.6%
-17 110
 
0.6%
-10 108
 
0.6%
-30 108
 
0.6%
-25 105
 
0.6%
-14 104
 
0.6%
9 102
 
0.6%
-11 101
 
0.5%
-23 99
 
0.5%
Other values (1395) 17265
94.0%
ValueCountFrequency (%)
-2379 1
< 0.1%
-2366 1
< 0.1%
-2059 1
< 0.1%
-2032 1
< 0.1%
-2018 1
< 0.1%
ValueCountFrequency (%)
3904 1
< 0.1%
2876 1
< 0.1%
2633 1
< 0.1%
2324 1
< 0.1%
2303 1
< 0.1%

TS_114
Real number (ℝ)

Distinct1406
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.270821992
Minimum-3184
Maximum5544
Zeros158
Zeros (%)0.9%
Negative9940
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:37:42.817235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3184
5-th percentile-213
Q1-62
median-9
Q359
95-th percentile278
Maximum5544
Range8728
Interquartile range (IQR)121

Descriptive statistics

Standard deviation204.3266852
Coefficient of variation (CV)28.10228134
Kurtosis50.99073343
Mean7.270821992
Median Absolute Deviation (MAD)59
Skewness1.749982405
Sum133565
Variance41749.39429
MonotonicityNot monotonic
2023-01-04T23:37:43.099232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
0.9%
-21 108
 
0.6%
-25 106
 
0.6%
-20 105
 
0.6%
-26 104
 
0.6%
-29 103
 
0.6%
-17 101
 
0.5%
-18 100
 
0.5%
-1 99
 
0.5%
-28 98
 
0.5%
Other values (1396) 17288
94.1%
ValueCountFrequency (%)
-3184 1
< 0.1%
-2642 1
< 0.1%
-2019 1
< 0.1%
-1847 1
< 0.1%
-1774 1
< 0.1%
ValueCountFrequency (%)
5544 1
< 0.1%
2580 1
< 0.1%
2517 1
< 0.1%
1974 1
< 0.1%
1939 1
< 0.1%

TS_115
Real number (ℝ)

Distinct1387
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.507131192
Minimum-4388
Maximum6026
Zeros162
Zeros (%)0.9%
Negative9967
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:43.411231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4388
5-th percentile-210
Q1-62
median-10
Q357
95-th percentile270
Maximum6026
Range10414
Interquartile range (IQR)119

Descriptive statistics

Standard deviation209.4777663
Coefficient of variation (CV)38.03754787
Kurtosis73.28656972
Mean5.507131192
Median Absolute Deviation (MAD)58
Skewness0.9357550306
Sum101166
Variance43880.93459
MonotonicityNot monotonic
2023-01-04T23:37:43.769234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
0.9%
-19 108
 
0.6%
-37 107
 
0.6%
7 106
 
0.6%
-33 105
 
0.6%
-12 103
 
0.6%
-34 101
 
0.5%
-17 99
 
0.5%
-14 99
 
0.5%
-28 99
 
0.5%
Other values (1377) 17281
94.1%
ValueCountFrequency (%)
-4388 1
< 0.1%
-3304 1
< 0.1%
-3007 1
< 0.1%
-2933 1
< 0.1%
-2774 1
< 0.1%
ValueCountFrequency (%)
6026 1
< 0.1%
2406 1
< 0.1%
2380 1
< 0.1%
2315 1
< 0.1%
1904 1
< 0.1%

TS_116
Real number (ℝ)

Distinct1414
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.347414262
Minimum-4334
Maximum5905
Zeros138
Zeros (%)0.8%
Negative10078
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:37:44.075238image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4334
5-th percentile-211
Q1-63
median-11
Q356
95-th percentile284
Maximum5905
Range10239
Interquartile range (IQR)119

Descriptive statistics

Standard deviation220.8899024
Coefficient of variation (CV)30.06362437
Kurtosis115.5243835
Mean7.347414262
Median Absolute Deviation (MAD)58
Skewness4.011035888
Sum134972
Variance48792.349
MonotonicityNot monotonic
2023-01-04T23:37:44.407234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138
 
0.8%
-17 117
 
0.6%
-22 115
 
0.6%
-30 110
 
0.6%
-38 110
 
0.6%
-21 106
 
0.6%
-41 105
 
0.6%
-31 104
 
0.6%
-19 104
 
0.6%
-18 103
 
0.6%
Other values (1404) 17258
93.9%
ValueCountFrequency (%)
-4334 1
< 0.1%
-2698 1
< 0.1%
-2679 1
< 0.1%
-1824 1
< 0.1%
-1650 1
< 0.1%
ValueCountFrequency (%)
5905 1
< 0.1%
5543 1
< 0.1%
5527 1
< 0.1%
5394 1
< 0.1%
3663 1
< 0.1%

TS_117
Real number (ℝ)

Distinct1396
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.998530212
Minimum-2375
Maximum5850
Zeros173
Zeros (%)0.9%
Negative10006
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:37:44.830232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2375
5-th percentile-210
Q1-63.75
median-10
Q357
95-th percentile289.55
Maximum5850
Range8225
Interquartile range (IQR)120.75

Descriptive statistics

Standard deviation209.3403183
Coefficient of variation (CV)29.91204038
Kurtosis67.94105436
Mean6.998530212
Median Absolute Deviation (MAD)59
Skewness2.761866649
Sum128563
Variance43823.36888
MonotonicityNot monotonic
2023-01-04T23:37:45.132230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.9%
-25 120
 
0.7%
-24 119
 
0.6%
-38 110
 
0.6%
-31 105
 
0.6%
-19 104
 
0.6%
-20 101
 
0.5%
-6 100
 
0.5%
-12 100
 
0.5%
-11 100
 
0.5%
Other values (1386) 17238
93.8%
ValueCountFrequency (%)
-2375 1
< 0.1%
-2150 1
< 0.1%
-1964 1
< 0.1%
-1857 1
< 0.1%
-1846 1
< 0.1%
ValueCountFrequency (%)
5850 1
< 0.1%
4365 1
< 0.1%
4097 1
< 0.1%
2978 1
< 0.1%
1960 1
< 0.1%

TS_118
Real number (ℝ)

Distinct1403
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.009363092
Minimum-2105
Maximum3961
Zeros178
Zeros (%)1.0%
Negative10025
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:37:45.504233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2105
5-th percentile-213
Q1-62
median-10
Q358
95-th percentile288
Maximum3961
Range6066
Interquartile range (IQR)120

Descriptive statistics

Standard deviation206.591273
Coefficient of variation (CV)29.47361554
Kurtosis35.55798451
Mean7.009363092
Median Absolute Deviation (MAD)59
Skewness1.778284608
Sum128762
Variance42679.95407
MonotonicityNot monotonic
2023-01-04T23:37:45.837232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
1.0%
-21 112
 
0.6%
-27 110
 
0.6%
-20 104
 
0.6%
-10 103
 
0.6%
-23 102
 
0.6%
-2 99
 
0.5%
-22 99
 
0.5%
-34 98
 
0.5%
-42 98
 
0.5%
Other values (1393) 17267
94.0%
ValueCountFrequency (%)
-2105 1
< 0.1%
-1995 1
< 0.1%
-1965 1
< 0.1%
-1841 1
< 0.1%
-1837 1
< 0.1%
ValueCountFrequency (%)
3961 1
< 0.1%
3856 1
< 0.1%
2774 1
< 0.1%
2710 2
< 0.1%
2536 1
< 0.1%

TS_119
Real number (ℝ)

Distinct1410
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.875231355
Minimum-2586
Maximum4989
Zeros176
Zeros (%)1.0%
Negative9965
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:37:46.149242image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2586
5-th percentile-211
Q1-62.75
median-10
Q355
95-th percentile280
Maximum4989
Range7575
Interquartile range (IQR)117.75

Descriptive statistics

Standard deviation208.7888871
Coefficient of variation (CV)30.36827073
Kurtosis58.1256509
Mean6.875231355
Median Absolute Deviation (MAD)59
Skewness2.650392371
Sum126298
Variance43592.79939
MonotonicityNot monotonic
2023-01-04T23:37:46.476237image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
1.0%
-20 110
 
0.6%
-24 105
 
0.6%
1 103
 
0.6%
-23 102
 
0.6%
-11 101
 
0.5%
-17 100
 
0.5%
-35 100
 
0.5%
-33 99
 
0.5%
-21 98
 
0.5%
Other values (1400) 17276
94.0%
ValueCountFrequency (%)
-2586 1
< 0.1%
-2357 1
< 0.1%
-2167 1
< 0.1%
-2051 1
< 0.1%
-1721 1
< 0.1%
ValueCountFrequency (%)
4989 1
< 0.1%
4674 1
< 0.1%
3931 1
< 0.1%
3104 1
< 0.1%
2658 1
< 0.1%

TS_120
Real number (ℝ)

Distinct1395
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.762003266
Minimum-3589
Maximum2964
Zeros170
Zeros (%)0.9%
Negative9984
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:46.807233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3589
5-th percentile-212
Q1-64
median-9
Q356
95-th percentile268
Maximum2964
Range6553
Interquartile range (IQR)120

Descriptive statistics

Standard deviation201.7948468
Coefficient of variation (CV)42.37604124
Kurtosis32.60208727
Mean4.762003266
Median Absolute Deviation (MAD)59
Skewness0.620020489
Sum87478
Variance40721.16019
MonotonicityNot monotonic
2023-01-04T23:37:47.109229image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-31 113
 
0.6%
-9 106
 
0.6%
-35 105
 
0.6%
-10 105
 
0.6%
-18 105
 
0.6%
-19 102
 
0.6%
-16 101
 
0.5%
-5 100
 
0.5%
-50 99
 
0.5%
Other values (1385) 17264
94.0%
ValueCountFrequency (%)
-3589 1
< 0.1%
-2975 1
< 0.1%
-2470 1
< 0.1%
-2460 1
< 0.1%
-2238 1
< 0.1%
ValueCountFrequency (%)
2964 1
< 0.1%
2951 1
< 0.1%
2623 1
< 0.1%
2411 1
< 0.1%
2337 1
< 0.1%

TS_121
Real number (ℝ)

Distinct1391
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.035383778
Minimum-4101
Maximum3634
Zeros157
Zeros (%)0.9%
Negative9871
Negative (%)53.7%
Memory size143.6 KiB
2023-01-04T23:37:47.434232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4101
5-th percentile-203.55
Q1-61
median-8
Q359
95-th percentile280
Maximum3634
Range7735
Interquartile range (IQR)120

Descriptive statistics

Standard deviation203.7779816
Coefficient of variation (CV)22.55332885
Kurtosis39.36974069
Mean9.035383778
Median Absolute Deviation (MAD)59
Skewness0.6757957099
Sum165980
Variance41525.46578
MonotonicityNot monotonic
2023-01-04T23:37:47.751233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 157
 
0.9%
-9 111
 
0.6%
-25 110
 
0.6%
-24 109
 
0.6%
-17 106
 
0.6%
-33 106
 
0.6%
-23 105
 
0.6%
-31 104
 
0.6%
-8 103
 
0.6%
-18 102
 
0.6%
Other values (1381) 17257
93.9%
ValueCountFrequency (%)
-4101 1
< 0.1%
-3252 1
< 0.1%
-2542 1
< 0.1%
-2347 1
< 0.1%
-1988 1
< 0.1%
ValueCountFrequency (%)
3634 1
< 0.1%
3221 1
< 0.1%
2443 1
< 0.1%
2442 1
< 0.1%
2188 1
< 0.1%

TS_122
Real number (ℝ)

Distinct1413
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.641208492
Minimum-3406
Maximum4758
Zeros156
Zeros (%)0.8%
Negative9990
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:37:48.075232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3406
5-th percentile-211
Q1-62
median-10
Q357
95-th percentile279
Maximum4758
Range8164
Interquartile range (IQR)119

Descriptive statistics

Standard deviation212.7427798
Coefficient of variation (CV)32.03374507
Kurtosis49.18051497
Mean6.641208492
Median Absolute Deviation (MAD)58
Skewness0.8620701563
Sum121999
Variance45259.49035
MonotonicityNot monotonic
2023-01-04T23:37:48.505232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 156
 
0.8%
-38 116
 
0.6%
-30 111
 
0.6%
-16 107
 
0.6%
-21 107
 
0.6%
-23 105
 
0.6%
-33 104
 
0.6%
-49 104
 
0.6%
6 102
 
0.6%
-17 101
 
0.5%
Other values (1403) 17257
93.9%
ValueCountFrequency (%)
-3406 1
< 0.1%
-3314 1
< 0.1%
-2880 1
< 0.1%
-2801 1
< 0.1%
-2569 1
< 0.1%
ValueCountFrequency (%)
4758 1
< 0.1%
3695 1
< 0.1%
2915 1
< 0.1%
2659 1
< 0.1%
2260 1
< 0.1%

TS_123
Real number (ℝ)

Distinct1397
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.658682635
Minimum-3342
Maximum4656
Zeros188
Zeros (%)1.0%
Negative9924
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:37:48.855234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3342
5-th percentile-208
Q1-61
median-9
Q357
95-th percentile277.55
Maximum4656
Range7998
Interquartile range (IQR)118

Descriptive statistics

Standard deviation210.3621423
Coefficient of variation (CV)24.29493622
Kurtosis44.08137672
Mean8.658682635
Median Absolute Deviation (MAD)58
Skewness1.442741636
Sum159060
Variance44252.23093
MonotonicityNot monotonic
2023-01-04T23:37:49.372235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 188
 
1.0%
-31 122
 
0.7%
-15 111
 
0.6%
-29 106
 
0.6%
-26 103
 
0.6%
-22 100
 
0.5%
-12 100
 
0.5%
-32 99
 
0.5%
-5 97
 
0.5%
-17 97
 
0.5%
Other values (1387) 17247
93.9%
ValueCountFrequency (%)
-3342 1
< 0.1%
-2883 1
< 0.1%
-2474 1
< 0.1%
-2398 1
< 0.1%
-2160 1
< 0.1%
ValueCountFrequency (%)
4656 1
< 0.1%
3410 1
< 0.1%
3101 1
< 0.1%
2657 1
< 0.1%
2313 1
< 0.1%

TS_124
Real number (ℝ)

Distinct1402
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.926020686
Minimum-2777
Maximum4529
Zeros175
Zeros (%)1.0%
Negative9928
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:37:49.719234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2777
5-th percentile-209.55
Q1-62
median-9
Q356
95-th percentile277
Maximum4529
Range7306
Interquartile range (IQR)118

Descriptive statistics

Standard deviation212.4669779
Coefficient of variation (CV)26.80626084
Kurtosis60.14729113
Mean7.926020686
Median Absolute Deviation (MAD)58
Skewness2.415251684
Sum145601
Variance45142.21669
MonotonicityNot monotonic
2023-01-04T23:37:50.010240image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
 
1.0%
-23 111
 
0.6%
-9 110
 
0.6%
-49 108
 
0.6%
-6 105
 
0.6%
-41 104
 
0.6%
-37 104
 
0.6%
-20 104
 
0.6%
-31 104
 
0.6%
-28 103
 
0.6%
Other values (1392) 17242
93.9%
ValueCountFrequency (%)
-2777 1
< 0.1%
-2689 1
< 0.1%
-2560 1
< 0.1%
-2338 1
< 0.1%
-2205 1
< 0.1%
ValueCountFrequency (%)
4529 1
< 0.1%
4508 1
< 0.1%
4085 1
< 0.1%
4069 1
< 0.1%
3099 1
< 0.1%

TS_125
Real number (ℝ)

Distinct1366
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.337506805
Minimum-2768
Maximum3556
Zeros199
Zeros (%)1.1%
Negative9879
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:37:50.709238image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2768
5-th percentile-205
Q1-61
median-8
Q355.75
95-th percentile279
Maximum3556
Range6324
Interquartile range (IQR)116.75

Descriptive statistics

Standard deviation200.4569986
Coefficient of variation (CV)27.31949748
Kurtosis30.90235364
Mean7.337506805
Median Absolute Deviation (MAD)58
Skewness1.04902023
Sum134790
Variance40183.0083
MonotonicityNot monotonic
2023-01-04T23:37:51.164234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 199
 
1.1%
-27 114
 
0.6%
-2 112
 
0.6%
-34 110
 
0.6%
-7 109
 
0.6%
-6 103
 
0.6%
-17 101
 
0.5%
-28 99
 
0.5%
-33 99
 
0.5%
-41 99
 
0.5%
Other values (1356) 17225
93.8%
ValueCountFrequency (%)
-2768 1
< 0.1%
-2446 1
< 0.1%
-2405 1
< 0.1%
-2146 1
< 0.1%
-2106 1
< 0.1%
ValueCountFrequency (%)
3556 1
< 0.1%
3134 1
< 0.1%
2633 1
< 0.1%
2055 1
< 0.1%
1987 1
< 0.1%

TS_126
Real number (ℝ)

Distinct1392
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.783070223
Minimum-2437
Maximum3334
Zeros177
Zeros (%)1.0%
Negative9838
Negative (%)53.6%
Memory size143.6 KiB
2023-01-04T23:37:51.589232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2437
5-th percentile-202
Q1-61
median-8
Q357
95-th percentile281
Maximum3334
Range5771
Interquartile range (IQR)118

Descriptive statistics

Standard deviation200.2861436
Coefficient of variation (CV)20.47272881
Kurtosis23.78541181
Mean9.783070223
Median Absolute Deviation (MAD)58
Skewness1.03352158
Sum179715
Variance40114.53931
MonotonicityNot monotonic
2023-01-04T23:37:52.196232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
 
1.0%
-20 108
 
0.6%
-27 106
 
0.6%
-39 104
 
0.6%
-23 103
 
0.6%
-6 103
 
0.6%
-35 103
 
0.6%
-18 103
 
0.6%
-14 102
 
0.6%
-30 101
 
0.5%
Other values (1382) 17260
94.0%
ValueCountFrequency (%)
-2437 1
< 0.1%
-2319 1
< 0.1%
-2218 1
< 0.1%
-1958 1
< 0.1%
-1932 1
< 0.1%
ValueCountFrequency (%)
3334 1
< 0.1%
2101 1
< 0.1%
2033 1
< 0.1%
1963 1
< 0.1%
1885 1
< 0.1%

TS_127
Real number (ℝ)

Distinct1346
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.701360915
Minimum-2742
Maximum2582
Zeros149
Zeros (%)0.8%
Negative9981
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:52.754425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2742
5-th percentile-203.55
Q1-62
median-9
Q355
95-th percentile273
Maximum2582
Range5324
Interquartile range (IQR)117

Descriptive statistics

Standard deviation193.878443
Coefficient of variation (CV)28.93120449
Kurtosis24.20964674
Mean6.701360915
Median Absolute Deviation (MAD)58
Skewness0.9907697099
Sum123104
Variance37588.85065
MonotonicityNot monotonic
2023-01-04T23:37:53.158424image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149
 
0.8%
-32 115
 
0.6%
-37 107
 
0.6%
-24 107
 
0.6%
-7 106
 
0.6%
-25 105
 
0.6%
-18 105
 
0.6%
-29 104
 
0.6%
-23 102
 
0.6%
-11 102
 
0.6%
Other values (1336) 17268
94.0%
ValueCountFrequency (%)
-2742 1
< 0.1%
-2386 1
< 0.1%
-2165 1
< 0.1%
-1752 1
< 0.1%
-1642 1
< 0.1%
ValueCountFrequency (%)
2582 1
< 0.1%
2455 1
< 0.1%
2390 1
< 0.1%
2254 1
< 0.1%
2102 1
< 0.1%

TS_128
Real number (ℝ)

Distinct1334
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.523353293
Minimum-4159
Maximum3473
Zeros173
Zeros (%)0.9%
Negative10039
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:37:53.563428image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4159
5-th percentile-206
Q1-62
median-10
Q355
95-th percentile269
Maximum3473
Range7632
Interquartile range (IQR)117

Descriptive statistics

Standard deviation202.1771484
Coefficient of variation (CV)30.99282522
Kurtosis45.49724911
Mean6.523353293
Median Absolute Deviation (MAD)57
Skewness1.037175566
Sum119834
Variance40875.59935
MonotonicityNot monotonic
2023-01-04T23:37:54.140421image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.9%
-22 115
 
0.6%
-21 112
 
0.6%
-37 112
 
0.6%
-28 110
 
0.6%
-3 107
 
0.6%
-9 107
 
0.6%
-14 106
 
0.6%
-17 102
 
0.6%
-33 101
 
0.5%
Other values (1324) 17225
93.8%
ValueCountFrequency (%)
-4159 1
< 0.1%
-3377 1
< 0.1%
-2645 1
< 0.1%
-2062 1
< 0.1%
-2029 1
< 0.1%
ValueCountFrequency (%)
3473 1
< 0.1%
3069 1
< 0.1%
2820 1
< 0.1%
2675 1
< 0.1%
2606 1
< 0.1%

TS_129
Real number (ℝ)

Distinct1368
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.572019597
Minimum-3817
Maximum3216
Zeros189
Zeros (%)1.0%
Negative9996
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:37:54.472425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3817
5-th percentile-200
Q1-62
median-9
Q354
95-th percentile277
Maximum3216
Range7033
Interquartile range (IQR)116

Descriptive statistics

Standard deviation199.7788653
Coefficient of variation (CV)30.39839769
Kurtosis35.4486501
Mean6.572019597
Median Absolute Deviation (MAD)58
Skewness0.3529247474
Sum120728
Variance39911.59504
MonotonicityNot monotonic
2023-01-04T23:37:54.823421image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 189
 
1.0%
-2 111
 
0.6%
-26 110
 
0.6%
-23 107
 
0.6%
-17 102
 
0.6%
-16 101
 
0.5%
-24 101
 
0.5%
-13 100
 
0.5%
-11 100
 
0.5%
-29 99
 
0.5%
Other values (1358) 17250
93.9%
ValueCountFrequency (%)
-3817 1
< 0.1%
-3230 1
< 0.1%
-2581 1
< 0.1%
-2485 1
< 0.1%
-1965 1
< 0.1%
ValueCountFrequency (%)
3216 1
< 0.1%
2734 1
< 0.1%
2718 1
< 0.1%
2175 1
< 0.1%
1801 1
< 0.1%

TS_130
Real number (ℝ)

Distinct1376
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.71050626
Minimum-3984
Maximum3066
Zeros162
Zeros (%)0.9%
Negative10068
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:37:55.225426image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3984
5-th percentile-202
Q1-64
median-10
Q355
95-th percentile279
Maximum3066
Range7050
Interquartile range (IQR)119

Descriptive statistics

Standard deviation202.4443105
Coefficient of variation (CV)30.16826193
Kurtosis36.43547586
Mean6.71050626
Median Absolute Deviation (MAD)58
Skewness0.2647444694
Sum123272
Variance40983.69887
MonotonicityNot monotonic
2023-01-04T23:37:55.518425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
0.9%
-17 117
 
0.6%
-10 107
 
0.6%
-15 106
 
0.6%
-27 103
 
0.6%
-3 101
 
0.5%
-16 101
 
0.5%
-11 100
 
0.5%
-12 99
 
0.5%
-20 98
 
0.5%
Other values (1366) 17276
94.0%
ValueCountFrequency (%)
-3984 1
< 0.1%
-3190 1
< 0.1%
-2824 1
< 0.1%
-2588 1
< 0.1%
-2524 1
< 0.1%
ValueCountFrequency (%)
3066 1
< 0.1%
2438 1
< 0.1%
2436 1
< 0.1%
2084 1
< 0.1%
1979 1
< 0.1%

TS_131
Real number (ℝ)

Distinct1392
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.082525857
Minimum-3818
Maximum2870
Zeros160
Zeros (%)0.9%
Negative10024
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:37:55.799423image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3818
5-th percentile-206.55
Q1-64
median-10
Q357
95-th percentile278
Maximum2870
Range6688
Interquartile range (IQR)121

Descriptive statistics

Standard deviation205.1093738
Coefficient of variation (CV)28.95991882
Kurtosis35.01243325
Mean7.082525857
Median Absolute Deviation (MAD)59
Skewness0.09010717828
Sum130106
Variance42069.85524
MonotonicityNot monotonic
2023-01-04T23:37:56.065423image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-33 108
 
0.6%
-31 107
 
0.6%
-16 105
 
0.6%
-35 104
 
0.6%
-15 104
 
0.6%
-1 103
 
0.6%
-23 103
 
0.6%
-36 103
 
0.6%
-20 99
 
0.5%
Other values (1382) 17274
94.0%
ValueCountFrequency (%)
-3818 1
< 0.1%
-3583 1
< 0.1%
-3047 1
< 0.1%
-2574 1
< 0.1%
-2221 1
< 0.1%
ValueCountFrequency (%)
2870 1
< 0.1%
2545 1
< 0.1%
2371 1
< 0.1%
2158 1
< 0.1%
2078 1
< 0.1%

TS_132
Real number (ℝ)

Distinct1401
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.760642352
Minimum-4852
Maximum4380
Zeros180
Zeros (%)1.0%
Negative9976
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:56.341423image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4852
5-th percentile-204
Q1-61
median-9
Q357
95-th percentile282
Maximum4380
Range9232
Interquartile range (IQR)118

Descriptive statistics

Standard deviation208.570536
Coefficient of variation (CV)23.80767615
Kurtosis57.46541318
Mean8.760642352
Median Absolute Deviation (MAD)58
Skewness0.1275700387
Sum160933
Variance43501.66849
MonotonicityNot monotonic
2023-01-04T23:37:56.916425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
1.0%
-7 121
 
0.7%
-35 116
 
0.6%
-23 110
 
0.6%
-14 108
 
0.6%
-37 105
 
0.6%
-27 104
 
0.6%
-32 104
 
0.6%
-22 104
 
0.6%
2 104
 
0.6%
Other values (1391) 17214
93.7%
ValueCountFrequency (%)
-4852 1
< 0.1%
-3798 1
< 0.1%
-3424 1
< 0.1%
-3005 1
< 0.1%
-2090 1
< 0.1%
ValueCountFrequency (%)
4380 1
< 0.1%
3182 1
< 0.1%
2502 1
< 0.1%
2111 1
< 0.1%
2087 1
< 0.1%

TS_133
Real number (ℝ)

Distinct1372
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9659227
Minimum-3404
Maximum4010
Zeros168
Zeros (%)0.9%
Negative9968
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:37:57.291425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3404
5-th percentile-206
Q1-61
median-9
Q357
95-th percentile278
Maximum4010
Range7414
Interquartile range (IQR)118

Descriptive statistics

Standard deviation203.7908365
Coefficient of variation (CV)25.58282877
Kurtosis41.52722567
Mean7.9659227
Median Absolute Deviation (MAD)58
Skewness0.9922891231
Sum146334
Variance41530.70503
MonotonicityNot monotonic
2023-01-04T23:37:57.680464image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
-12 118
 
0.6%
-15 112
 
0.6%
-26 109
 
0.6%
-44 109
 
0.6%
-25 105
 
0.6%
-4 105
 
0.6%
-16 104
 
0.6%
-22 104
 
0.6%
-7 104
 
0.6%
Other values (1362) 17232
93.8%
ValueCountFrequency (%)
-3404 1
< 0.1%
-2988 1
< 0.1%
-2949 1
< 0.1%
-2892 1
< 0.1%
-2408 1
< 0.1%
ValueCountFrequency (%)
4010 1
< 0.1%
3492 1
< 0.1%
2682 1
< 0.1%
2512 1
< 0.1%
2158 1
< 0.1%

TS_134
Real number (ℝ)

Distinct1397
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.045726728
Minimum-3873
Maximum3629
Zeros185
Zeros (%)1.0%
Negative10026
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:37:57.964428image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3873
5-th percentile-207
Q1-61
median-10
Q357
95-th percentile273
Maximum3629
Range7502
Interquartile range (IQR)118

Descriptive statistics

Standard deviation206.0713805
Coefficient of variation (CV)29.2477112
Kurtosis38.61577348
Mean7.045726728
Median Absolute Deviation (MAD)58
Skewness0.6323410971
Sum129430
Variance42465.41388
MonotonicityNot monotonic
2023-01-04T23:37:58.232428image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 185
 
1.0%
-22 116
 
0.6%
-30 112
 
0.6%
-33 108
 
0.6%
-29 108
 
0.6%
-28 104
 
0.6%
-14 103
 
0.6%
-45 103
 
0.6%
-12 102
 
0.6%
-38 101
 
0.5%
Other values (1387) 17228
93.8%
ValueCountFrequency (%)
-3873 1
< 0.1%
-3066 1
< 0.1%
-2755 1
< 0.1%
-2607 1
< 0.1%
-2503 1
< 0.1%
ValueCountFrequency (%)
3629 1
< 0.1%
2844 1
< 0.1%
2504 1
< 0.1%
2472 1
< 0.1%
2305 1
< 0.1%

TS_135
Real number (ℝ)

Distinct1402
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.557974959
Minimum-2619
Maximum2333
Zeros190
Zeros (%)1.0%
Negative10008
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:37:58.501421image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2619
5-th percentile-205
Q1-62
median-10
Q356
95-th percentile281
Maximum2333
Range4952
Interquartile range (IQR)118

Descriptive statistics

Standard deviation201.7566327
Coefficient of variation (CV)23.57527729
Kurtosis24.4107904
Mean8.557974959
Median Absolute Deviation (MAD)58
Skewness1.424121344
Sum157210
Variance40705.73884
MonotonicityNot monotonic
2023-01-04T23:37:58.774426image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190
 
1.0%
-41 131
 
0.7%
-17 113
 
0.6%
-22 108
 
0.6%
-23 105
 
0.6%
-43 104
 
0.6%
-30 103
 
0.6%
-10 102
 
0.6%
-39 99
 
0.5%
-33 99
 
0.5%
Other values (1392) 17216
93.7%
ValueCountFrequency (%)
-2619 1
< 0.1%
-2436 1
< 0.1%
-2000 1
< 0.1%
-1903 1
< 0.1%
-1864 1
< 0.1%
ValueCountFrequency (%)
2333 1
< 0.1%
2330 1
< 0.1%
2313 1
< 0.1%
2221 1
< 0.1%
2197 1
< 0.1%

TS_136
Real number (ℝ)

Distinct1381
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.115677735
Minimum-4120
Maximum3426
Zeros156
Zeros (%)0.8%
Negative9998
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:37:59.170424image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4120
5-th percentile-208
Q1-62
median-10
Q358
95-th percentile279
Maximum3426
Range7546
Interquartile range (IQR)120

Descriptive statistics

Standard deviation202.0364964
Coefficient of variation (CV)24.89459328
Kurtosis35.11633819
Mean8.115677735
Median Absolute Deviation (MAD)58
Skewness1.082466186
Sum149085
Variance40818.74589
MonotonicityNot monotonic
2023-01-04T23:37:59.516424image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 156
 
0.8%
-24 114
 
0.6%
-20 110
 
0.6%
-23 108
 
0.6%
-11 106
 
0.6%
-14 105
 
0.6%
-17 104
 
0.6%
-39 103
 
0.6%
-30 103
 
0.6%
-36 103
 
0.6%
Other values (1371) 17258
93.9%
ValueCountFrequency (%)
-4120 1
< 0.1%
-2120 1
< 0.1%
-2092 1
< 0.1%
-1924 1
< 0.1%
-1655 1
< 0.1%
ValueCountFrequency (%)
3426 1
< 0.1%
3194 1
< 0.1%
2453 1
< 0.1%
2408 1
< 0.1%
2339 1
< 0.1%

TS_137
Real number (ℝ)

Distinct1367
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.21507893
Minimum-3388
Maximum5405
Zeros157
Zeros (%)0.9%
Negative9924
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:37:59.792428image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3388
5-th percentile-206
Q1-61
median-9
Q357
95-th percentile277
Maximum5405
Range8793
Interquartile range (IQR)118

Descriptive statistics

Standard deviation206.2607889
Coefficient of variation (CV)20.1917959
Kurtosis54.58476986
Mean10.21507893
Median Absolute Deviation (MAD)58
Skewness2.27043446
Sum187651
Variance42543.51305
MonotonicityNot monotonic
2023-01-04T23:38:00.042425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 157
 
0.9%
-33 113
 
0.6%
-17 109
 
0.6%
-20 108
 
0.6%
-21 105
 
0.6%
-15 105
 
0.6%
-39 103
 
0.6%
-47 101
 
0.5%
-27 100
 
0.5%
-31 99
 
0.5%
Other values (1357) 17270
94.0%
ValueCountFrequency (%)
-3388 1
< 0.1%
-3138 1
< 0.1%
-2097 1
< 0.1%
-1873 1
< 0.1%
-1819 1
< 0.1%
ValueCountFrequency (%)
5405 1
< 0.1%
3236 1
< 0.1%
2786 1
< 0.1%
2394 1
< 0.1%
2305 1
< 0.1%

TS_138
Real number (ℝ)

Distinct1366
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.415459989
Minimum-2082
Maximum5985
Zeros181
Zeros (%)1.0%
Negative9903
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:38:00.321423image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2082
5-th percentile-202
Q1-60
median-9
Q356
95-th percentile278
Maximum5985
Range8067
Interquartile range (IQR)116

Descriptive statistics

Standard deviation203.4382234
Coefficient of variation (CV)21.60682788
Kurtosis66.18453962
Mean9.415459989
Median Absolute Deviation (MAD)57
Skewness2.878131629
Sum172962
Variance41387.11074
MonotonicityNot monotonic
2023-01-04T23:38:00.591548image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
1.0%
-42 109
 
0.6%
-36 107
 
0.6%
-5 105
 
0.6%
-31 105
 
0.6%
-17 105
 
0.6%
-26 104
 
0.6%
-11 103
 
0.6%
-30 103
 
0.6%
-41 102
 
0.6%
Other values (1356) 17246
93.9%
ValueCountFrequency (%)
-2082 1
< 0.1%
-2077 1
< 0.1%
-1961 1
< 0.1%
-1880 1
< 0.1%
-1672 1
< 0.1%
ValueCountFrequency (%)
5985 1
< 0.1%
3936 1
< 0.1%
2668 1
< 0.1%
2177 1
< 0.1%
2035 1
< 0.1%

TS_139
Real number (ℝ)

Distinct1373
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.667719107
Minimum-3739
Maximum5058
Zeros163
Zeros (%)0.9%
Negative9945
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:00.976553image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3739
5-th percentile-201.55
Q1-60
median-9
Q355
95-th percentile288
Maximum5058
Range8797
Interquartile range (IQR)115

Descriptive statistics

Standard deviation207.8654015
Coefficient of variation (CV)21.50097652
Kurtosis54.20656336
Mean9.667719107
Median Absolute Deviation (MAD)57
Skewness2.009311011
Sum177596
Variance43208.02514
MonotonicityNot monotonic
2023-01-04T23:38:01.223548image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-17 114
 
0.6%
-28 110
 
0.6%
-20 109
 
0.6%
-3 108
 
0.6%
4 108
 
0.6%
-16 107
 
0.6%
-10 107
 
0.6%
-18 107
 
0.6%
-38 104
 
0.6%
Other values (1363) 17233
93.8%
ValueCountFrequency (%)
-3739 1
< 0.1%
-2770 1
< 0.1%
-2534 1
< 0.1%
-2049 1
< 0.1%
-1827 1
< 0.1%
ValueCountFrequency (%)
5058 1
< 0.1%
4072 1
< 0.1%
2837 1
< 0.1%
2697 1
< 0.1%
2354 1
< 0.1%

TS_140
Real number (ℝ)

Distinct1384
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.384648884
Minimum-3832
Maximum3701
Zeros162
Zeros (%)0.9%
Negative9937
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:01.484047image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3832
5-th percentile-202
Q1-60
median-9
Q356
95-th percentile284
Maximum3701
Range7533
Interquartile range (IQR)116

Descriptive statistics

Standard deviation203.3278961
Coefficient of variation (CV)21.66600995
Kurtosis33.73970252
Mean9.384648884
Median Absolute Deviation (MAD)57
Skewness1.087704462
Sum172396
Variance41342.23333
MonotonicityNot monotonic
2023-01-04T23:38:01.762912image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
0.9%
-26 113
 
0.6%
-21 112
 
0.6%
-24 110
 
0.6%
-32 109
 
0.6%
-23 108
 
0.6%
-17 106
 
0.6%
-46 104
 
0.6%
-35 104
 
0.6%
-34 103
 
0.6%
Other values (1374) 17239
93.8%
ValueCountFrequency (%)
-3832 1
< 0.1%
-2619 1
< 0.1%
-2320 1
< 0.1%
-2262 1
< 0.1%
-1964 1
< 0.1%
ValueCountFrequency (%)
3701 1
< 0.1%
3112 1
< 0.1%
2127 1
< 0.1%
1940 1
< 0.1%
1827 1
< 0.1%

TS_141
Real number (ℝ)

Distinct1389
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.696516059
Minimum-3778
Maximum3862
Zeros154
Zeros (%)0.8%
Negative9912
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:38:02.064950image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3778
5-th percentile-202
Q1-61
median-9
Q357
95-th percentile284
Maximum3862
Range7640
Interquartile range (IQR)118

Descriptive statistics

Standard deviation204.7853363
Coefficient of variation (CV)21.11947581
Kurtosis38.38125436
Mean9.696516059
Median Absolute Deviation (MAD)58
Skewness1.381761976
Sum178125
Variance41937.03397
MonotonicityNot monotonic
2023-01-04T23:38:02.354907image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 154
 
0.8%
2 114
 
0.6%
-34 114
 
0.6%
-8 108
 
0.6%
-17 107
 
0.6%
-48 105
 
0.6%
-41 104
 
0.6%
-11 104
 
0.6%
-18 104
 
0.6%
-3 103
 
0.6%
Other values (1379) 17253
93.9%
ValueCountFrequency (%)
-3778 1
< 0.1%
-2606 1
< 0.1%
-2242 1
< 0.1%
-2163 1
< 0.1%
-2071 1
< 0.1%
ValueCountFrequency (%)
3862 1
< 0.1%
3515 1
< 0.1%
2726 1
< 0.1%
2522 1
< 0.1%
2393 1
< 0.1%

TS_142
Real number (ℝ)

Distinct1387
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.738649973
Minimum-3215
Maximum4210
Zeros151
Zeros (%)0.8%
Negative9928
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:38:02.664946image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3215
5-th percentile-205
Q1-61
median-9
Q356
95-th percentile283
Maximum4210
Range7425
Interquartile range (IQR)117

Descriptive statistics

Standard deviation206.8921489
Coefficient of variation (CV)23.67552763
Kurtosis45.49196897
Mean8.738649973
Median Absolute Deviation (MAD)57
Skewness1.772167209
Sum160529
Variance42804.36127
MonotonicityNot monotonic
2023-01-04T23:38:02.929912image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151
 
0.8%
-33 125
 
0.7%
-15 111
 
0.6%
-42 105
 
0.6%
-36 104
 
0.6%
-40 102
 
0.6%
-31 102
 
0.6%
-18 101
 
0.5%
-30 100
 
0.5%
-28 100
 
0.5%
Other values (1377) 17269
94.0%
ValueCountFrequency (%)
-3215 1
< 0.1%
-2435 1
< 0.1%
-2316 1
< 0.1%
-2208 1
< 0.1%
-2137 1
< 0.1%
ValueCountFrequency (%)
4210 1
< 0.1%
3973 1
< 0.1%
3685 1
< 0.1%
3256 1
< 0.1%
2482 1
< 0.1%

TS_143
Real number (ℝ)

Distinct1388
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.424060969
Minimum-5294
Maximum5349
Zeros153
Zeros (%)0.8%
Negative9954
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:38:03.226948image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5294
5-th percentile-201.55
Q1-61
median-9
Q357
95-th percentile281
Maximum5349
Range10643
Interquartile range (IQR)118

Descriptive statistics

Standard deviation218.5361683
Coefficient of variation (CV)25.9419025
Kurtosis91.41432104
Mean8.424060969
Median Absolute Deviation (MAD)58
Skewness0.8335198018
Sum154750
Variance47758.05687
MonotonicityNot monotonic
2023-01-04T23:38:03.508911image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153
 
0.8%
-30 111
 
0.6%
-49 110
 
0.6%
-24 109
 
0.6%
-15 105
 
0.6%
-35 105
 
0.6%
2 104
 
0.6%
-5 103
 
0.6%
-19 103
 
0.6%
-21 101
 
0.5%
Other values (1378) 17266
94.0%
ValueCountFrequency (%)
-5294 1
< 0.1%
-3618 1
< 0.1%
-3600 1
< 0.1%
-3467 1
< 0.1%
-3420 1
< 0.1%
ValueCountFrequency (%)
5349 1
< 0.1%
5074 1
< 0.1%
4154 1
< 0.1%
2936 1
< 0.1%
1960 1
< 0.1%

TS_144
Real number (ℝ)

Distinct1375
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.091780076
Minimum-3578
Maximum5872
Zeros185
Zeros (%)1.0%
Negative9893
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:38:03.770608image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3578
5-th percentile-201
Q1-61
median-9
Q356
95-th percentile271
Maximum5872
Range9450
Interquartile range (IQR)117

Descriptive statistics

Standard deviation211.268124
Coefficient of variation (CV)29.7905634
Kurtosis90.39397734
Mean7.091780076
Median Absolute Deviation (MAD)58
Skewness2.243187389
Sum130276
Variance44634.22022
MonotonicityNot monotonic
2023-01-04T23:38:04.119608image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 185
 
1.0%
-25 116
 
0.6%
-8 110
 
0.6%
-4 107
 
0.6%
-21 107
 
0.6%
-24 106
 
0.6%
-27 106
 
0.6%
-50 104
 
0.6%
-29 103
 
0.6%
-37 100
 
0.5%
Other values (1365) 17226
93.8%
ValueCountFrequency (%)
-3578 1
< 0.1%
-3402 1
< 0.1%
-2993 1
< 0.1%
-2773 1
< 0.1%
-2685 1
< 0.1%
ValueCountFrequency (%)
5872 1
< 0.1%
5154 1
< 0.1%
3902 1
< 0.1%
3587 1
< 0.1%
2909 1
< 0.1%

TS_145
Real number (ℝ)

Distinct1351
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.843385955
Minimum-5864
Maximum6020
Zeros167
Zeros (%)0.9%
Negative9972
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:04.373615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5864
5-th percentile-200.55
Q1-61
median-9
Q356
95-th percentile269
Maximum6020
Range11884
Interquartile range (IQR)117

Descriptive statistics

Standard deviation224.0986315
Coefficient of variation (CV)28.57166953
Kurtosis113.5648109
Mean7.843385955
Median Absolute Deviation (MAD)57
Skewness1.255556335
Sum144083
Variance50220.19666
MonotonicityNot monotonic
2023-01-04T23:38:04.640609image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
0.9%
-35 112
 
0.6%
-15 109
 
0.6%
-36 107
 
0.6%
-19 104
 
0.6%
-8 103
 
0.6%
3 102
 
0.6%
-17 100
 
0.5%
-31 99
 
0.5%
-33 99
 
0.5%
Other values (1341) 17268
94.0%
ValueCountFrequency (%)
-5864 1
< 0.1%
-4754 1
< 0.1%
-3504 1
< 0.1%
-3001 1
< 0.1%
-2622 1
< 0.1%
ValueCountFrequency (%)
6020 1
< 0.1%
4448 1
< 0.1%
4306 1
< 0.1%
3604 1
< 0.1%
3596 1
< 0.1%

TS_146
Real number (ℝ)

Distinct1360
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.241589548
Minimum-5332
Maximum6537
Zeros155
Zeros (%)0.8%
Negative9991
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:04.903616image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5332
5-th percentile-204
Q1-61
median-9
Q354
95-th percentile276
Maximum6537
Range11869
Interquartile range (IQR)115

Descriptive statistics

Standard deviation219.0088554
Coefficient of variation (CV)30.24320199
Kurtosis113.9350314
Mean7.241589548
Median Absolute Deviation (MAD)57
Skewness2.114315593
Sum133028
Variance47964.87875
MonotonicityNot monotonic
2023-01-04T23:38:05.158651image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 155
 
0.8%
-40 115
 
0.6%
-23 111
 
0.6%
-26 108
 
0.6%
-12 108
 
0.6%
-20 106
 
0.6%
-31 106
 
0.6%
-44 105
 
0.6%
-30 104
 
0.6%
-7 103
 
0.6%
Other values (1350) 17249
93.9%
ValueCountFrequency (%)
-5332 1
< 0.1%
-3581 1
< 0.1%
-3245 1
< 0.1%
-2629 1
< 0.1%
-2492 1
< 0.1%
ValueCountFrequency (%)
6537 1
< 0.1%
5045 1
< 0.1%
4451 1
< 0.1%
3395 1
< 0.1%
3058 1
< 0.1%

TS_147
Real number (ℝ)

Distinct1409
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.219379423
Minimum-4925
Maximum6717
Zeros163
Zeros (%)0.9%
Negative9998
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:05.420583image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4925
5-th percentile-207
Q1-61
median-10
Q356
95-th percentile275
Maximum6717
Range11642
Interquartile range (IQR)117

Descriptive statistics

Standard deviation224.6743987
Coefficient of variation (CV)27.33471557
Kurtosis112.2011579
Mean8.219379423
Median Absolute Deviation (MAD)57
Skewness2.449152742
Sum150990
Variance50478.58544
MonotonicityNot monotonic
2023-01-04T23:38:05.681774image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-35 117
 
0.6%
-30 113
 
0.6%
-45 113
 
0.6%
-36 112
 
0.6%
-24 111
 
0.6%
-21 107
 
0.6%
-20 107
 
0.6%
-17 103
 
0.6%
-3 102
 
0.6%
Other values (1399) 17222
93.8%
ValueCountFrequency (%)
-4925 1
< 0.1%
-4012 1
< 0.1%
-3185 1
< 0.1%
-2849 1
< 0.1%
-2337 1
< 0.1%
ValueCountFrequency (%)
6717 1
< 0.1%
5948 1
< 0.1%
3231 1
< 0.1%
3027 1
< 0.1%
2793 1
< 0.1%

TS_148
Real number (ℝ)

Distinct1375
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.967174741
Minimum-4868
Maximum5370
Zeros165
Zeros (%)0.9%
Negative9979
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:05.961293image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4868
5-th percentile-200
Q1-61
median-10
Q356
95-th percentile282
Maximum5370
Range10238
Interquartile range (IQR)117

Descriptive statistics

Standard deviation215.0654325
Coefficient of variation (CV)26.99393944
Kurtosis80.71355005
Mean7.967174741
Median Absolute Deviation (MAD)58
Skewness1.198066883
Sum146357
Variance46253.14025
MonotonicityNot monotonic
2023-01-04T23:38:06.222299image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
 
0.9%
-21 110
 
0.6%
-33 109
 
0.6%
-37 106
 
0.6%
-20 105
 
0.6%
-14 101
 
0.5%
-35 101
 
0.5%
-45 99
 
0.5%
-25 99
 
0.5%
-27 99
 
0.5%
Other values (1365) 17276
94.0%
ValueCountFrequency (%)
-4868 1
< 0.1%
-4034 1
< 0.1%
-3455 1
< 0.1%
-2713 1
< 0.1%
-2564 1
< 0.1%
ValueCountFrequency (%)
5370 1
< 0.1%
4493 1
< 0.1%
3836 1
< 0.1%
3321 1
< 0.1%
2290 1
< 0.1%

TS_149
Real number (ℝ)

Distinct1381
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.83010343
Minimum-4617
Maximum6808
Zeros182
Zeros (%)1.0%
Negative9939
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:06.799295image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4617
5-th percentile-197
Q1-60
median-9
Q356
95-th percentile272
Maximum6808
Range11425
Interquartile range (IQR)116

Descriptive statistics

Standard deviation217.2460659
Coefficient of variation (CV)24.60289029
Kurtosis103.9482346
Mean8.83010343
Median Absolute Deviation (MAD)57
Skewness1.600716601
Sum162209
Variance47195.85316
MonotonicityNot monotonic
2023-01-04T23:38:07.124292image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 182
 
1.0%
-41 114
 
0.6%
-18 109
 
0.6%
-9 108
 
0.6%
-31 108
 
0.6%
-24 108
 
0.6%
-29 108
 
0.6%
-35 108
 
0.6%
-7 107
 
0.6%
-25 103
 
0.6%
Other values (1371) 17215
93.7%
ValueCountFrequency (%)
-4617 1
< 0.1%
-4566 1
< 0.1%
-3946 1
< 0.1%
-3018 1
< 0.1%
-2610 1
< 0.1%
ValueCountFrequency (%)
6808 1
< 0.1%
3361 1
< 0.1%
2930 1
< 0.1%
2861 1
< 0.1%
2801 1
< 0.1%

TS_150
Real number (ℝ)

Distinct1391
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.791453457
Minimum-4477
Maximum8050
Zeros153
Zeros (%)0.8%
Negative9941
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:07.550293image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4477
5-th percentile-201.55
Q1-60
median-9
Q357
95-th percentile274
Maximum8050
Range12527
Interquartile range (IQR)117

Descriptive statistics

Standard deviation217.9913292
Coefficient of variation (CV)24.79582361
Kurtosis136.7335782
Mean8.791453457
Median Absolute Deviation (MAD)58
Skewness2.873498638
Sum161499
Variance47520.21961
MonotonicityNot monotonic
2023-01-04T23:38:07.880293image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153
 
0.8%
-23 113
 
0.6%
-6 111
 
0.6%
-27 109
 
0.6%
-16 109
 
0.6%
-37 107
 
0.6%
-13 107
 
0.6%
-36 104
 
0.6%
-26 104
 
0.6%
-19 102
 
0.6%
Other values (1381) 17251
93.9%
ValueCountFrequency (%)
-4477 1
< 0.1%
-3650 1
< 0.1%
-2698 1
< 0.1%
-2696 1
< 0.1%
-2250 1
< 0.1%
ValueCountFrequency (%)
8050 1
< 0.1%
3313 1
< 0.1%
2885 1
< 0.1%
2715 1
< 0.1%
2368 1
< 0.1%

TS_151
Real number (ℝ)

Distinct1387
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.903429505
Minimum-2978
Maximum5674
Zeros169
Zeros (%)0.9%
Negative9947
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:08.201307image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2978
5-th percentile-198
Q1-61
median-9
Q356
95-th percentile274
Maximum5674
Range8652
Interquartile range (IQR)117

Descriptive statistics

Standard deviation211.8431541
Coefficient of variation (CV)23.79343308
Kurtosis83.46420832
Mean8.903429505
Median Absolute Deviation (MAD)58
Skewness2.942354034
Sum163556
Variance44877.52195
MonotonicityNot monotonic
2023-01-04T23:38:08.489670image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169
 
0.9%
-24 117
 
0.6%
-25 116
 
0.6%
-14 114
 
0.6%
-41 110
 
0.6%
-45 106
 
0.6%
-23 105
 
0.6%
-30 104
 
0.6%
-4 101
 
0.5%
-29 101
 
0.5%
Other values (1377) 17227
93.8%
ValueCountFrequency (%)
-2978 1
< 0.1%
-2849 1
< 0.1%
-2780 1
< 0.1%
-2295 1
< 0.1%
-2290 1
< 0.1%
ValueCountFrequency (%)
5674 1
< 0.1%
5570 1
< 0.1%
3675 1
< 0.1%
3279 1
< 0.1%
2637 1
< 0.1%

TS_152
Real number (ℝ)

Distinct1381
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.853130103
Minimum-3139
Maximum5824
Zeros154
Zeros (%)0.8%
Negative10020
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:38:08.778668image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3139
5-th percentile-203
Q1-61
median-9
Q356
95-th percentile274.55
Maximum5824
Range8963
Interquartile range (IQR)117

Descriptive statistics

Standard deviation215.2538927
Coefficient of variation (CV)24.31387432
Kurtosis77.8859076
Mean8.853130103
Median Absolute Deviation (MAD)58
Skewness3.175433924
Sum162632
Variance46334.23832
MonotonicityNot monotonic
2023-01-04T23:38:09.042676image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 154
 
0.8%
-7 117
 
0.6%
-8 115
 
0.6%
-33 108
 
0.6%
-16 108
 
0.6%
-21 105
 
0.6%
-4 104
 
0.6%
-18 104
 
0.6%
-10 103
 
0.6%
-34 102
 
0.6%
Other values (1371) 17250
93.9%
ValueCountFrequency (%)
-3139 1
< 0.1%
-2794 1
< 0.1%
-2275 1
< 0.1%
-2200 1
< 0.1%
-1958 1
< 0.1%
ValueCountFrequency (%)
5824 1
< 0.1%
4968 1
< 0.1%
3773 1
< 0.1%
3669 1
< 0.1%
2671 1
< 0.1%

TS_153
Real number (ℝ)

Distinct1390
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.152531301
Minimum-4857
Maximum4225
Zeros179
Zeros (%)1.0%
Negative10015
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:38:09.304676image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4857
5-th percentile-204
Q1-61
median-10
Q355
95-th percentile272
Maximum4225
Range9082
Interquartile range (IQR)116

Descriptive statistics

Standard deviation209.1900768
Coefficient of variation (CV)29.24699914
Kurtosis52.23553797
Mean7.152531301
Median Absolute Deviation (MAD)56
Skewness1.014532241
Sum131392
Variance43760.48825
MonotonicityNot monotonic
2023-01-04T23:38:09.551677image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-14 114
 
0.6%
-37 113
 
0.6%
-24 112
 
0.6%
-13 108
 
0.6%
-44 107
 
0.6%
-35 107
 
0.6%
-15 106
 
0.6%
-31 104
 
0.6%
2 102
 
0.6%
Other values (1380) 17218
93.7%
ValueCountFrequency (%)
-4857 1
< 0.1%
-2580 1
< 0.1%
-2222 1
< 0.1%
-2152 1
< 0.1%
-2101 1
< 0.1%
ValueCountFrequency (%)
4225 1
< 0.1%
3391 1
< 0.1%
3032 1
< 0.1%
2661 1
< 0.1%
2655 1
< 0.1%

TS_154
Real number (ℝ)

Distinct1365
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.647904192
Minimum-3004
Maximum4973
Zeros179
Zeros (%)1.0%
Negative10030
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:38:09.821180image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3004
5-th percentile-199
Q1-61
median-10
Q355
95-th percentile277
Maximum4973
Range7977
Interquartile range (IQR)116

Descriptive statistics

Standard deviation202.5320652
Coefficient of variation (CV)30.46555116
Kurtosis45.72935873
Mean6.647904192
Median Absolute Deviation (MAD)57
Skewness1.229844481
Sum122122
Variance41019.23745
MonotonicityNot monotonic
2023-01-04T23:38:10.079178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-17 117
 
0.6%
-38 115
 
0.6%
-18 112
 
0.6%
-22 110
 
0.6%
-45 107
 
0.6%
-23 105
 
0.6%
-14 104
 
0.6%
-25 102
 
0.6%
-24 102
 
0.6%
Other values (1355) 17217
93.7%
ValueCountFrequency (%)
-3004 1
< 0.1%
-2912 1
< 0.1%
-2380 1
< 0.1%
-2264 1
< 0.1%
-2080 1
< 0.1%
ValueCountFrequency (%)
4973 1
< 0.1%
2673 1
< 0.1%
2490 1
< 0.1%
2273 1
< 0.1%
1920 1
< 0.1%

TS_155
Real number (ℝ)

Distinct1362
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.403048449
Minimum-5533
Maximum6480
Zeros178
Zeros (%)1.0%
Negative9982
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:10.351145image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5533
5-th percentile-198
Q1-62
median-10
Q356
95-th percentile276
Maximum6480
Range12013
Interquartile range (IQR)118

Descriptive statistics

Standard deviation214.7587556
Coefficient of variation (CV)29.00950292
Kurtosis100.3120295
Mean7.403048449
Median Absolute Deviation (MAD)58
Skewness1.106523791
Sum135994
Variance46121.32309
MonotonicityNot monotonic
2023-01-04T23:38:10.704609image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
1.0%
-23 125
 
0.7%
-18 110
 
0.6%
-10 109
 
0.6%
-37 108
 
0.6%
-17 104
 
0.6%
-22 103
 
0.6%
-19 102
 
0.6%
1 101
 
0.5%
-24 100
 
0.5%
Other values (1352) 17230
93.8%
ValueCountFrequency (%)
-5533 1
< 0.1%
-3068 1
< 0.1%
-2828 1
< 0.1%
-2689 1
< 0.1%
-2563 1
< 0.1%
ValueCountFrequency (%)
6480 1
< 0.1%
3612 1
< 0.1%
3328 1
< 0.1%
2937 1
< 0.1%
2661 1
< 0.1%

TS_156
Real number (ℝ)

Distinct1395
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.029504627
Minimum-4155
Maximum3233
Zeros169
Zeros (%)0.9%
Negative9986
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:10.971649image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4155
5-th percentile-195
Q1-61
median-9
Q357
95-th percentile275
Maximum3233
Range7388
Interquartile range (IQR)118

Descriptive statistics

Standard deviation211.9264713
Coefficient of variation (CV)23.47044273
Kurtosis49.62336092
Mean9.029504627
Median Absolute Deviation (MAD)58
Skewness0.1156597071
Sum165872
Variance44912.82922
MonotonicityNot monotonic
2023-01-04T23:38:11.216767image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169
 
0.9%
-26 117
 
0.6%
-17 117
 
0.6%
-29 106
 
0.6%
-14 105
 
0.6%
-22 105
 
0.6%
-18 104
 
0.6%
-15 103
 
0.6%
-38 102
 
0.6%
-16 101
 
0.5%
Other values (1385) 17241
93.9%
ValueCountFrequency (%)
-4155 1
< 0.1%
-4024 1
< 0.1%
-4019 1
< 0.1%
-2871 1
< 0.1%
-2679 1
< 0.1%
ValueCountFrequency (%)
3233 1
< 0.1%
2839 1
< 0.1%
2813 1
< 0.1%
2439 1
< 0.1%
2405 1
< 0.1%

TS_157
Real number (ℝ)

Distinct1357
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.994774088
Minimum-3134
Maximum4582
Zeros169
Zeros (%)0.9%
Negative9964
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:38:11.489547image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3134
5-th percentile-195
Q1-61
median-9
Q356
95-th percentile268.55
Maximum4582
Range7716
Interquartile range (IQR)117

Descriptive statistics

Standard deviation203.3102548
Coefficient of variation (CV)25.43039397
Kurtosis45.63696784
Mean7.994774088
Median Absolute Deviation (MAD)58
Skewness1.284703949
Sum146864
Variance41335.05969
MonotonicityNot monotonic
2023-01-04T23:38:11.749553image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169
 
0.9%
-14 120
 
0.7%
-31 113
 
0.6%
-37 111
 
0.6%
-35 110
 
0.6%
-21 110
 
0.6%
-27 106
 
0.6%
-25 104
 
0.6%
-9 103
 
0.6%
-54 102
 
0.6%
Other values (1347) 17222
93.8%
ValueCountFrequency (%)
-3134 1
< 0.1%
-2539 1
< 0.1%
-2507 1
< 0.1%
-2463 1
< 0.1%
-2462 1
< 0.1%
ValueCountFrequency (%)
4582 1
< 0.1%
3249 1
< 0.1%
3052 1
< 0.1%
2696 1
< 0.1%
2336 1
< 0.1%

TS_158
Real number (ℝ)

Distinct1374
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.939085465
Minimum-5995
Maximum4950
Zeros167
Zeros (%)0.9%
Negative9959
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:38:12.033547image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5995
5-th percentile-197
Q1-60
median-9
Q357
95-th percentile279
Maximum4950
Range10945
Interquartile range (IQR)117

Descriptive statistics

Standard deviation214.4282533
Coefficient of variation (CV)21.57424383
Kurtosis85.28286475
Mean9.939085465
Median Absolute Deviation (MAD)58
Skewness0.8116338112
Sum182581
Variance45979.47579
MonotonicityNot monotonic
2023-01-04T23:38:12.303553image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
0.9%
-16 116
 
0.6%
-18 110
 
0.6%
-17 109
 
0.6%
-32 106
 
0.6%
-15 104
 
0.6%
5 104
 
0.6%
-2 103
 
0.6%
-30 103
 
0.6%
-25 103
 
0.6%
Other values (1364) 17245
93.9%
ValueCountFrequency (%)
-5995 1
< 0.1%
-2844 1
< 0.1%
-2714 1
< 0.1%
-2649 1
< 0.1%
-2534 1
< 0.1%
ValueCountFrequency (%)
4950 1
< 0.1%
4174 1
< 0.1%
3663 1
< 0.1%
2659 1
< 0.1%
2653 1
< 0.1%

TS_159
Real number (ℝ)

Distinct1372
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.340772999
Minimum-5693
Maximum4008
Zeros181
Zeros (%)1.0%
Negative10000
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:12.568552image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5693
5-th percentile-202
Q1-61
median-9
Q355
95-th percentile264.55
Maximum4008
Range9701
Interquartile range (IQR)116

Descriptive statistics

Standard deviation214.707202
Coefficient of variation (CV)29.24858213
Kurtosis65.47582692
Mean7.340772999
Median Absolute Deviation (MAD)57
Skewness0.4699271624
Sum134850
Variance46099.18258
MonotonicityNot monotonic
2023-01-04T23:38:12.852556image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
1.0%
-2 121
 
0.7%
-35 116
 
0.6%
-14 114
 
0.6%
-9 109
 
0.6%
-17 108
 
0.6%
-41 107
 
0.6%
-32 107
 
0.6%
-31 107
 
0.6%
-11 106
 
0.6%
Other values (1362) 17194
93.6%
ValueCountFrequency (%)
-5693 1
< 0.1%
-3294 1
< 0.1%
-2673 1
< 0.1%
-2388 1
< 0.1%
-1978 1
< 0.1%
ValueCountFrequency (%)
4008 1
< 0.1%
3310 1
< 0.1%
3215 1
< 0.1%
2916 1
< 0.1%
2645 1
< 0.1%

TS_160
Real number (ℝ)

Distinct1379
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.335928144
Minimum-4956
Maximum2959
Zeros161
Zeros (%)0.9%
Negative9891
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:38:13.152960image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4956
5-th percentile-196
Q1-61
median-9
Q356
95-th percentile275.55
Maximum2959
Range7915
Interquartile range (IQR)117

Descriptive statistics

Standard deviation210.0910358
Coefficient of variation (CV)22.50349752
Kurtosis48.80500407
Mean9.335928144
Median Absolute Deviation (MAD)57
Skewness0.3589075023
Sum171501
Variance44138.24334
MonotonicityNot monotonic
2023-01-04T23:38:13.403962image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
 
0.9%
-27 110
 
0.6%
-21 110
 
0.6%
-22 109
 
0.6%
-36 107
 
0.6%
-31 105
 
0.6%
-23 105
 
0.6%
-35 105
 
0.6%
-20 103
 
0.6%
-46 102
 
0.6%
Other values (1369) 17253
93.9%
ValueCountFrequency (%)
-4956 1
< 0.1%
-2952 1
< 0.1%
-2713 1
< 0.1%
-2537 1
< 0.1%
-2504 1
< 0.1%
ValueCountFrequency (%)
2959 1
< 0.1%
2746 1
< 0.1%
2719 1
< 0.1%
2692 1
< 0.1%
2681 1
< 0.1%

TS_161
Real number (ℝ)

Distinct1377
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.833968427
Minimum-4033
Maximum3122
Zeros192
Zeros (%)1.0%
Negative9949
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:38:13.849920image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4033
5-th percentile-195
Q1-61
median-9
Q357
95-th percentile274.55
Maximum3122
Range7155
Interquartile range (IQR)118

Descriptive statistics

Standard deviation205.7746952
Coefficient of variation (CV)23.29357377
Kurtosis43.11539615
Mean8.833968427
Median Absolute Deviation (MAD)58
Skewness0.6706594182
Sum162280
Variance42343.22519
MonotonicityNot monotonic
2023-01-04T23:38:14.156922image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 192
 
1.0%
-19 121
 
0.7%
-15 114
 
0.6%
-4 110
 
0.6%
-26 109
 
0.6%
-17 108
 
0.6%
1 105
 
0.6%
-22 103
 
0.6%
-28 103
 
0.6%
-33 102
 
0.6%
Other values (1367) 17203
93.6%
ValueCountFrequency (%)
-4033 1
< 0.1%
-3478 1
< 0.1%
-2922 1
< 0.1%
-2687 1
< 0.1%
-2230 1
< 0.1%
ValueCountFrequency (%)
3122 1
< 0.1%
2936 1
< 0.1%
2797 1
< 0.1%
2625 1
< 0.1%
2603 1
< 0.1%

TS_162
Real number (ℝ)

Distinct1402
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.58170931
Minimum-3640
Maximum2893
Zeros168
Zeros (%)0.9%
Negative9935
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:14.460918image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3640
5-th percentile-196
Q1-60
median-9
Q356
95-th percentile282.55
Maximum2893
Range6533
Interquartile range (IQR)116

Descriptive statistics

Standard deviation208.5160403
Coefficient of variation (CV)19.70532683
Kurtosis36.94001124
Mean10.58170931
Median Absolute Deviation (MAD)57
Skewness0.5791442086
Sum194386
Variance43478.93907
MonotonicityNot monotonic
2023-01-04T23:38:14.706920image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
-25 118
 
0.6%
-27 111
 
0.6%
-28 105
 
0.6%
-30 103
 
0.6%
-26 103
 
0.6%
-12 102
 
0.6%
-2 100
 
0.5%
-1 100
 
0.5%
13 99
 
0.5%
Other values (1392) 17261
94.0%
ValueCountFrequency (%)
-3640 1
< 0.1%
-3558 1
< 0.1%
-2642 1
< 0.1%
-2496 1
< 0.1%
-2420 1
< 0.1%
ValueCountFrequency (%)
2893 1
< 0.1%
2818 1
< 0.1%
2651 1
< 0.1%
2583 1
< 0.1%
2316 1
< 0.1%

TS_163
Real number (ℝ)

Distinct1362
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.172781709
Minimum-3798
Maximum5516
Zeros179
Zeros (%)1.0%
Negative9964
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:38:15.044919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3798
5-th percentile-199
Q1-61
median-9
Q355
95-th percentile272.55
Maximum5516
Range9314
Interquartile range (IQR)116

Descriptive statistics

Standard deviation203.92101
Coefficient of variation (CV)24.95123658
Kurtosis60.03168653
Mean8.172781709
Median Absolute Deviation (MAD)57
Skewness1.657845482
Sum150134
Variance41583.7783
MonotonicityNot monotonic
2023-01-04T23:38:15.322926image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-38 120
 
0.7%
-12 112
 
0.6%
-28 111
 
0.6%
-18 110
 
0.6%
-42 109
 
0.6%
-5 108
 
0.6%
-15 108
 
0.6%
-35 108
 
0.6%
-20 108
 
0.6%
Other values (1352) 17197
93.6%
ValueCountFrequency (%)
-3798 1
< 0.1%
-2381 1
< 0.1%
-2162 1
< 0.1%
-2111 1
< 0.1%
-2103 1
< 0.1%
ValueCountFrequency (%)
5516 1
< 0.1%
2795 1
< 0.1%
2698 1
< 0.1%
2639 1
< 0.1%
2348 1
< 0.1%

TS_164
Real number (ℝ)

Distinct1348
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.265269461
Minimum-3626
Maximum2947
Zeros163
Zeros (%)0.9%
Negative9967
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:15.581962image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3626
5-th percentile-204
Q1-60
median-9
Q355
95-th percentile269
Maximum2947
Range6573
Interquartile range (IQR)115

Descriptive statistics

Standard deviation198.9417493
Coefficient of variation (CV)31.75310344
Kurtosis37.91957423
Mean6.265269461
Median Absolute Deviation (MAD)56
Skewness0.0928462495
Sum115093
Variance39577.81961
MonotonicityNot monotonic
2023-01-04T23:38:15.868919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-18 116
 
0.6%
-26 111
 
0.6%
-34 111
 
0.6%
-33 109
 
0.6%
-6 107
 
0.6%
1 107
 
0.6%
-41 104
 
0.6%
-19 104
 
0.6%
-5 103
 
0.6%
Other values (1338) 17235
93.8%
ValueCountFrequency (%)
-3626 1
< 0.1%
-3490 1
< 0.1%
-3017 1
< 0.1%
-2471 1
< 0.1%
-2327 1
< 0.1%
ValueCountFrequency (%)
2947 1
< 0.1%
2488 1
< 0.1%
2445 1
< 0.1%
2132 1
< 0.1%
2099 1
< 0.1%

TS_165
Real number (ℝ)

Distinct1373
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.627218291
Minimum-3948
Maximum3548
Zeros151
Zeros (%)0.8%
Negative9926
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:38:16.294923image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3948
5-th percentile-203.55
Q1-59
median-9
Q355
95-th percentile268
Maximum3548
Range7496
Interquartile range (IQR)114

Descriptive statistics

Standard deviation202.7406482
Coefficient of variation (CV)30.59211864
Kurtosis44.25255867
Mean6.627218291
Median Absolute Deviation (MAD)56
Skewness-0.1398865548
Sum121742
Variance41103.77044
MonotonicityNot monotonic
2023-01-04T23:38:16.762960image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151
 
0.8%
-23 117
 
0.6%
-34 113
 
0.6%
-21 112
 
0.6%
-17 109
 
0.6%
6 107
 
0.6%
-19 106
 
0.6%
-32 105
 
0.6%
-20 104
 
0.6%
-8 103
 
0.6%
Other values (1363) 17243
93.9%
ValueCountFrequency (%)
-3948 1
< 0.1%
-3510 1
< 0.1%
-3307 1
< 0.1%
-3076 1
< 0.1%
-2968 1
< 0.1%
ValueCountFrequency (%)
3548 1
< 0.1%
2467 1
< 0.1%
2266 1
< 0.1%
2053 1
< 0.1%
1931 1
< 0.1%

TS_166
Real number (ℝ)

Distinct1334
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.134022863
Minimum-3469
Maximum2147
Zeros176
Zeros (%)1.0%
Negative10004
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:38:17.071920image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3469
5-th percentile-194
Q1-59
median-9
Q355
95-th percentile268
Maximum2147
Range5616
Interquartile range (IQR)114

Descriptive statistics

Standard deviation197.2925406
Coefficient of variation (CV)24.25522326
Kurtosis32.12011104
Mean8.134022863
Median Absolute Deviation (MAD)56
Skewness0.1318439815
Sum149422
Variance38924.34656
MonotonicityNot monotonic
2023-01-04T23:38:17.420924image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
1.0%
-13 112
 
0.6%
-9 111
 
0.6%
-14 107
 
0.6%
-12 107
 
0.6%
-44 106
 
0.6%
-25 106
 
0.6%
-15 106
 
0.6%
-49 106
 
0.6%
-23 105
 
0.6%
Other values (1324) 17228
93.8%
ValueCountFrequency (%)
-3469 1
< 0.1%
-2902 1
< 0.1%
-2812 1
< 0.1%
-2460 1
< 0.1%
-2368 1
< 0.1%
ValueCountFrequency (%)
2147 1
< 0.1%
2049 1
< 0.1%
1918 1
< 0.1%
1901 1
< 0.1%
1890 1
< 0.1%

TS_167
Real number (ℝ)

Distinct1331
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.978225367
Minimum-3600
Maximum2246
Zeros159
Zeros (%)0.9%
Negative9973
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:17.703919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3600
5-th percentile-189
Q1-59
median-9
Q356
95-th percentile275
Maximum2246
Range5846
Interquartile range (IQR)115

Descriptive statistics

Standard deviation195.3241936
Coefficient of variation (CV)21.75532308
Kurtosis32.652307
Mean8.978225367
Median Absolute Deviation (MAD)56
Skewness0.09783131245
Sum164930
Variance38151.5406
MonotonicityNot monotonic
2023-01-04T23:38:17.948961image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 159
 
0.9%
-19 117
 
0.6%
-30 115
 
0.6%
-17 112
 
0.6%
-36 110
 
0.6%
-21 110
 
0.6%
-31 110
 
0.6%
-22 110
 
0.6%
-14 109
 
0.6%
-27 107
 
0.6%
Other values (1321) 17211
93.7%
ValueCountFrequency (%)
-3600 1
< 0.1%
-3399 1
< 0.1%
-2656 1
< 0.1%
-2290 1
< 0.1%
-2207 1
< 0.1%
ValueCountFrequency (%)
2246 1
< 0.1%
1952 1
< 0.1%
1920 1
< 0.1%
1900 1
< 0.1%
1867 1
< 0.1%

TS_168
Real number (ℝ)

Distinct1365
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.75329341
Minimum-3642
Maximum7280
Zeros168
Zeros (%)0.9%
Negative9791
Negative (%)53.3%
Memory size143.6 KiB
2023-01-04T23:38:18.381922image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3642
5-th percentile-190
Q1-58
median-7
Q358
95-th percentile274
Maximum7280
Range10922
Interquartile range (IQR)116

Descriptive statistics

Standard deviation207.7276326
Coefficient of variation (CV)19.31758249
Kurtosis114.8761509
Mean10.75329341
Median Absolute Deviation (MAD)57
Skewness2.127273941
Sum197538
Variance43150.76934
MonotonicityNot monotonic
2023-01-04T23:38:18.873919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
2 121
 
0.7%
-37 114
 
0.6%
-31 109
 
0.6%
-13 108
 
0.6%
-15 107
 
0.6%
-28 105
 
0.6%
-1 103
 
0.6%
-4 102
 
0.6%
-5 100
 
0.5%
Other values (1355) 17233
93.8%
ValueCountFrequency (%)
-3642 1
< 0.1%
-3416 1
< 0.1%
-3151 1
< 0.1%
-3011 1
< 0.1%
-2906 1
< 0.1%
ValueCountFrequency (%)
7280 1
< 0.1%
2705 1
< 0.1%
2145 1
< 0.1%
1903 1
< 0.1%
1833 1
< 0.1%

TS_169
Real number (ℝ)

Distinct1356
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.11627654
Minimum-3151
Maximum7228
Zeros158
Zeros (%)0.9%
Negative9830
Negative (%)53.5%
Memory size143.6 KiB
2023-01-04T23:38:19.200921image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3151
5-th percentile-193
Q1-59
median-8
Q358
95-th percentile278.55
Maximum7228
Range10379
Interquartile range (IQR)117

Descriptive statistics

Standard deviation204.8504458
Coefficient of variation (CV)20.24958936
Kurtosis109.4445381
Mean10.11627654
Median Absolute Deviation (MAD)57
Skewness2.450135939
Sum185836
Variance41963.70514
MonotonicityNot monotonic
2023-01-04T23:38:19.524920image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
0.9%
-36 116
 
0.6%
-24 113
 
0.6%
-23 110
 
0.6%
-6 108
 
0.6%
-59 104
 
0.6%
-22 104
 
0.6%
-11 103
 
0.6%
-40 102
 
0.6%
-26 102
 
0.6%
Other values (1346) 17250
93.9%
ValueCountFrequency (%)
-3151 1
< 0.1%
-2944 1
< 0.1%
-2933 1
< 0.1%
-2687 1
< 0.1%
-2654 1
< 0.1%
ValueCountFrequency (%)
7228 1
< 0.1%
2262 1
< 0.1%
2256 1
< 0.1%
1944 1
< 0.1%
1867 1
< 0.1%

TS_170
Real number (ℝ)

Distinct1353
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.358573762
Minimum-4256
Maximum2501
Zeros172
Zeros (%)0.9%
Negative9900
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:38:19.811962image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4256
5-th percentile-194
Q1-60
median-9
Q357
95-th percentile275
Maximum2501
Range6757
Interquartile range (IQR)117

Descriptive statistics

Standard deviation198.1329002
Coefficient of variation (CV)23.70415167
Kurtosis43.14251669
Mean8.358573762
Median Absolute Deviation (MAD)57
Skewness-0.339303737
Sum153547
Variance39256.64615
MonotonicityNot monotonic
2023-01-04T23:38:20.106925image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
 
0.9%
-19 129
 
0.7%
-33 110
 
0.6%
-29 108
 
0.6%
-28 106
 
0.6%
3 106
 
0.6%
-45 103
 
0.6%
-35 102
 
0.6%
-23 102
 
0.6%
-34 101
 
0.5%
Other values (1343) 17231
93.8%
ValueCountFrequency (%)
-4256 1
< 0.1%
-3745 1
< 0.1%
-3213 1
< 0.1%
-2534 1
< 0.1%
-2341 1
< 0.1%
ValueCountFrequency (%)
2501 1
< 0.1%
2445 1
< 0.1%
2431 1
< 0.1%
1830 1
< 0.1%
1796 1
< 0.1%

TS_171
Real number (ℝ)

Distinct1363
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.690854654
Minimum-3794
Maximum3463
Zeros163
Zeros (%)0.9%
Negative10042
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:38:20.446918image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3794
5-th percentile-196
Q1-61
median-10
Q355
95-th percentile275
Maximum3463
Range7257
Interquartile range (IQR)116

Descriptive statistics

Standard deviation199.3839239
Coefficient of variation (CV)25.92480717
Kurtosis41.34131906
Mean7.690854654
Median Absolute Deviation (MAD)56
Skewness0.2390545377
Sum141281
Variance39753.94912
MonotonicityNot monotonic
2023-01-04T23:38:20.785923image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-30 132
 
0.7%
-24 112
 
0.6%
-28 108
 
0.6%
-32 107
 
0.6%
-17 105
 
0.6%
-33 105
 
0.6%
-20 104
 
0.6%
-6 104
 
0.6%
-11 102
 
0.6%
Other values (1353) 17228
93.8%
ValueCountFrequency (%)
-3794 1
< 0.1%
-3418 1
< 0.1%
-2932 1
< 0.1%
-2387 1
< 0.1%
-2386 1
< 0.1%
ValueCountFrequency (%)
3463 1
< 0.1%
2784 1
< 0.1%
2527 1
< 0.1%
2339 1
< 0.1%
2072 1
< 0.1%

TS_172
Real number (ℝ)

Distinct1351
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.746706587
Minimum-3156
Maximum5522
Zeros153
Zeros (%)0.8%
Negative10065
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:38:21.312919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3156
5-th percentile-193.55
Q1-61
median-10
Q354
95-th percentile274
Maximum5522
Range8678
Interquartile range (IQR)115

Descriptive statistics

Standard deviation203.3753638
Coefficient of variation (CV)26.25313887
Kurtosis63.78705909
Mean7.746706587
Median Absolute Deviation (MAD)56
Skewness1.811153402
Sum142307
Variance41361.53859
MonotonicityNot monotonic
2023-01-04T23:38:21.770924image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153
 
0.8%
-35 115
 
0.6%
-36 114
 
0.6%
-22 113
 
0.6%
-15 113
 
0.6%
-8 108
 
0.6%
-16 108
 
0.6%
-23 107
 
0.6%
-14 107
 
0.6%
-26 106
 
0.6%
Other values (1341) 17226
93.8%
ValueCountFrequency (%)
-3156 1
< 0.1%
-3090 1
< 0.1%
-2605 1
< 0.1%
-2384 1
< 0.1%
-2288 1
< 0.1%
ValueCountFrequency (%)
5522 1
< 0.1%
3815 1
< 0.1%
2965 1
< 0.1%
2817 1
< 0.1%
2588 1
< 0.1%

TS_173
Real number (ℝ)

Distinct1390
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.196679369
Minimum-4041
Maximum3007
Zeros202
Zeros (%)1.1%
Negative10019
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:38:22.137925image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4041
5-th percentile-195
Q1-60
median-11
Q354
95-th percentile278
Maximum3007
Range7048
Interquartile range (IQR)114

Descriptive statistics

Standard deviation207.5671838
Coefficient of variation (CV)25.323326
Kurtosis42.18455302
Mean8.196679369
Median Absolute Deviation (MAD)56
Skewness0.1578449841
Sum150573
Variance43084.13579
MonotonicityNot monotonic
2023-01-04T23:38:22.479925image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 202
 
1.1%
-21 121
 
0.7%
-30 112
 
0.6%
-16 110
 
0.6%
-35 110
 
0.6%
-17 110
 
0.6%
-11 109
 
0.6%
-24 105
 
0.6%
-32 103
 
0.6%
-22 103
 
0.6%
Other values (1380) 17185
93.5%
ValueCountFrequency (%)
-4041 1
< 0.1%
-3463 1
< 0.1%
-3100 1
< 0.1%
-2738 1
< 0.1%
-2614 1
< 0.1%
ValueCountFrequency (%)
3007 1
< 0.1%
2598 1
< 0.1%
2592 1
< 0.1%
2512 1
< 0.1%
2490 1
< 0.1%

TS_174
Real number (ℝ)

Distinct1344
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.34267828
Minimum-4740
Maximum7255
Zeros177
Zeros (%)1.0%
Negative10130
Negative (%)55.1%
Memory size143.6 KiB
2023-01-04T23:38:22.868921image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4740
5-th percentile-200
Q1-62
median-11
Q353
95-th percentile268
Maximum7255
Range11995
Interquartile range (IQR)115

Descriptive statistics

Standard deviation207.7693512
Coefficient of variation (CV)32.75735298
Kurtosis125.7446375
Mean6.34267828
Median Absolute Deviation (MAD)56
Skewness2.687998578
Sum116515
Variance43168.10332
MonotonicityNot monotonic
2023-01-04T23:38:23.384922image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
 
1.0%
-28 123
 
0.7%
-18 112
 
0.6%
-17 111
 
0.6%
-27 110
 
0.6%
-11 108
 
0.6%
-21 108
 
0.6%
-41 106
 
0.6%
-26 105
 
0.6%
-29 104
 
0.6%
Other values (1334) 17206
93.7%
ValueCountFrequency (%)
-4740 1
< 0.1%
-2646 1
< 0.1%
-2577 1
< 0.1%
-2342 1
< 0.1%
-2312 1
< 0.1%
ValueCountFrequency (%)
7255 1
< 0.1%
4019 1
< 0.1%
2930 1
< 0.1%
2599 1
< 0.1%
2578 1
< 0.1%

TS_175
Real number (ℝ)

Distinct1369
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.461350027
Minimum-4723
Maximum3958
Zeros179
Zeros (%)1.0%
Negative10144
Negative (%)55.2%
Memory size143.6 KiB
2023-01-04T23:38:23.728922image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4723
5-th percentile-195
Q1-61
median-11
Q352
95-th percentile276
Maximum3958
Range8681
Interquartile range (IQR)113

Descriptive statistics

Standard deviation207.8919944
Coefficient of variation (CV)32.17469933
Kurtosis47.66182135
Mean6.461350027
Median Absolute Deviation (MAD)56
Skewness0.6866403392
Sum118695
Variance43219.08134
MonotonicityNot monotonic
2023-01-04T23:38:23.996928image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-19 114
 
0.6%
-15 114
 
0.6%
-31 113
 
0.6%
-14 112
 
0.6%
-24 110
 
0.6%
-16 105
 
0.6%
-38 104
 
0.6%
-22 104
 
0.6%
-37 103
 
0.6%
Other values (1359) 17212
93.7%
ValueCountFrequency (%)
-4723 1
< 0.1%
-2799 1
< 0.1%
-2330 1
< 0.1%
-2204 1
< 0.1%
-2191 1
< 0.1%
ValueCountFrequency (%)
3958 1
< 0.1%
2951 1
< 0.1%
2798 1
< 0.1%
2434 1
< 0.1%
2197 1
< 0.1%

TS_176
Real number (ℝ)

Distinct1363
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.063636364
Minimum-3234
Maximum3067
Zeros196
Zeros (%)1.1%
Negative10033
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:38:24.256922image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3234
5-th percentile-194
Q1-60
median-10
Q354
95-th percentile272
Maximum3067
Range6301
Interquartile range (IQR)114

Descriptive statistics

Standard deviation205.8459872
Coefficient of variation (CV)25.52768725
Kurtosis39.37313552
Mean8.063636364
Median Absolute Deviation (MAD)56
Skewness0.9736985748
Sum148129
Variance42372.57045
MonotonicityNot monotonic
2023-01-04T23:38:24.644923image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 196
 
1.1%
-32 113
 
0.6%
-15 113
 
0.6%
-18 111
 
0.6%
-12 111
 
0.6%
-29 109
 
0.6%
-36 108
 
0.6%
-21 107
 
0.6%
-30 105
 
0.6%
-2 103
 
0.6%
Other values (1353) 17194
93.6%
ValueCountFrequency (%)
-3234 1
< 0.1%
-2976 1
< 0.1%
-2521 1
< 0.1%
-2520 1
< 0.1%
-2490 1
< 0.1%
ValueCountFrequency (%)
3067 1
< 0.1%
2940 1
< 0.1%
2851 1
< 0.1%
2598 1
< 0.1%
2585 1
< 0.1%

TS_177
Real number (ℝ)

Distinct1351
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.575721285
Minimum-4856
Maximum2626
Zeros165
Zeros (%)0.9%
Negative9936
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:25.268926image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4856
5-th percentile-197
Q1-60
median-9
Q356
95-th percentile277
Maximum2626
Range7482
Interquartile range (IQR)116

Descriptive statistics

Standard deviation203.9128449
Coefficient of variation (CV)23.77792353
Kurtosis52.54898272
Mean8.575721285
Median Absolute Deviation (MAD)57
Skewness-0.212160495
Sum157536
Variance41580.44832
MonotonicityNot monotonic
2023-01-04T23:38:25.911922image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
 
0.9%
-35 110
 
0.6%
-24 108
 
0.6%
-18 107
 
0.6%
-27 104
 
0.6%
-37 103
 
0.6%
-13 103
 
0.6%
-14 102
 
0.6%
-41 101
 
0.5%
-25 100
 
0.5%
Other values (1341) 17267
94.0%
ValueCountFrequency (%)
-4856 1
< 0.1%
-4054 1
< 0.1%
-3111 1
< 0.1%
-2912 1
< 0.1%
-2391 1
< 0.1%
ValueCountFrequency (%)
2626 1
< 0.1%
2354 1
< 0.1%
2307 1
< 0.1%
2239 1
< 0.1%
2131 1
< 0.1%

TS_178
Real number (ℝ)

Distinct1349
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.332226456
Minimum-4995
Maximum5356
Zeros164
Zeros (%)0.9%
Negative9969
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:26.435925image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4995
5-th percentile-192
Q1-61
median-9
Q355
95-th percentile274.55
Maximum5356
Range10351
Interquartile range (IQR)116

Descriptive statistics

Standard deviation206.3096374
Coefficient of variation (CV)22.10722579
Kurtosis71.58970663
Mean9.332226456
Median Absolute Deviation (MAD)57
Skewness0.68997971
Sum171433
Variance42563.66647
MonotonicityNot monotonic
2023-01-04T23:38:26.812927image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
0.9%
-23 118
 
0.6%
-9 114
 
0.6%
-40 110
 
0.6%
-15 109
 
0.6%
-17 109
 
0.6%
-38 107
 
0.6%
-26 104
 
0.6%
-21 104
 
0.6%
-28 102
 
0.6%
Other values (1339) 17229
93.8%
ValueCountFrequency (%)
-4995 1
< 0.1%
-3400 1
< 0.1%
-3161 2
< 0.1%
-2805 1
< 0.1%
-1970 1
< 0.1%
ValueCountFrequency (%)
5356 1
< 0.1%
2409 1
< 0.1%
2198 1
< 0.1%
2116 1
< 0.1%
2113 1
< 0.1%

TS_179
Real number (ℝ)

Distinct1369
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.876265651
Minimum-4241
Maximum2986
Zeros183
Zeros (%)1.0%
Negative9930
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:27.132923image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4241
5-th percentile-200
Q1-61
median-9
Q355
95-th percentile268.55
Maximum2986
Range7227
Interquartile range (IQR)116

Descriptive statistics

Standard deviation206.2616072
Coefficient of variation (CV)29.99616619
Kurtosis47.82373374
Mean6.876265651
Median Absolute Deviation (MAD)57
Skewness-0.4092749051
Sum126317
Variance42543.8506
MonotonicityNot monotonic
2023-01-04T23:38:27.553455image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
1.0%
-25 114
 
0.6%
-5 106
 
0.6%
-22 103
 
0.6%
-19 103
 
0.6%
-11 103
 
0.6%
-13 101
 
0.5%
-40 101
 
0.5%
-28 100
 
0.5%
-16 100
 
0.5%
Other values (1359) 17256
93.9%
ValueCountFrequency (%)
-4241 1
< 0.1%
-3752 1
< 0.1%
-3590 1
< 0.1%
-3114 1
< 0.1%
-2790 1
< 0.1%
ValueCountFrequency (%)
2986 1
< 0.1%
2434 1
< 0.1%
2322 1
< 0.1%
2175 1
< 0.1%
2173 1
< 0.1%

TS_180
Real number (ℝ)

Distinct1385
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.624224279
Minimum-4054
Maximum3349
Zeros165
Zeros (%)0.9%
Negative9991
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:27.863495image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4054
5-th percentile-198
Q1-61
median-9
Q355
95-th percentile263
Maximum3349
Range7403
Interquartile range (IQR)116

Descriptive statistics

Standard deviation205.3707494
Coefficient of variation (CV)31.00298854
Kurtosis48.2084485
Mean6.624224279
Median Absolute Deviation (MAD)57
Skewness-0.4960155461
Sum121687
Variance42177.1447
MonotonicityNot monotonic
2023-01-04T23:38:28.180457image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
 
0.9%
-18 113
 
0.6%
-32 112
 
0.6%
-51 109
 
0.6%
-8 108
 
0.6%
-20 106
 
0.6%
-10 105
 
0.6%
-22 104
 
0.6%
-29 103
 
0.6%
-21 101
 
0.5%
Other values (1375) 17244
93.9%
ValueCountFrequency (%)
-4054 1
< 0.1%
-3790 1
< 0.1%
-3715 1
< 0.1%
-3454 1
< 0.1%
-2691 1
< 0.1%
ValueCountFrequency (%)
3349 1
< 0.1%
2640 1
< 0.1%
2117 1
< 0.1%
1878 1
< 0.1%
1827 1
< 0.1%

TS_181
Real number (ℝ)

Distinct1363
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.256668481
Minimum-4202
Maximum4061
Zeros156
Zeros (%)0.8%
Negative10046
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:38:28.543454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4202
5-th percentile-196
Q1-61
median-10
Q356
95-th percentile268
Maximum4061
Range8263
Interquartile range (IQR)117

Descriptive statistics

Standard deviation202.958612
Coefficient of variation (CV)27.9685661
Kurtosis53.45778254
Mean7.256668481
Median Absolute Deviation (MAD)57
Skewness0.03875430177
Sum133305
Variance41192.1982
MonotonicityNot monotonic
2023-01-04T23:38:29.157457image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 156
 
0.8%
-27 115
 
0.6%
-45 113
 
0.6%
-24 112
 
0.6%
-35 111
 
0.6%
-31 108
 
0.6%
-15 107
 
0.6%
-18 106
 
0.6%
-30 105
 
0.6%
-26 105
 
0.6%
Other values (1353) 17232
93.8%
ValueCountFrequency (%)
-4202 1
< 0.1%
-3989 1
< 0.1%
-3019 1
< 0.1%
-2826 1
< 0.1%
-2767 1
< 0.1%
ValueCountFrequency (%)
4061 1
< 0.1%
3144 1
< 0.1%
1990 1
< 0.1%
1857 1
< 0.1%
1855 1
< 0.1%

TS_182
Real number (ℝ)

Distinct1376
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.109254219
Minimum-3444
Maximum3978
Zeros149
Zeros (%)0.8%
Negative9977
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:29.535456image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3444
5-th percentile-202
Q1-60
median-9
Q356
95-th percentile272
Maximum3978
Range7422
Interquartile range (IQR)116

Descriptive statistics

Standard deviation202.0851066
Coefficient of variation (CV)28.42564078
Kurtosis39.79871618
Mean7.109254219
Median Absolute Deviation (MAD)57
Skewness0.3519624721
Sum130597
Variance40838.39032
MonotonicityNot monotonic
2023-01-04T23:38:29.841460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149
 
0.8%
-32 122
 
0.7%
-30 108
 
0.6%
-37 105
 
0.6%
-29 105
 
0.6%
-31 104
 
0.6%
-59 103
 
0.6%
-34 103
 
0.6%
-20 102
 
0.6%
-21 101
 
0.5%
Other values (1366) 17268
94.0%
ValueCountFrequency (%)
-3444 1
< 0.1%
-3164 1
< 0.1%
-3088 1
< 0.1%
-2995 1
< 0.1%
-2680 1
< 0.1%
ValueCountFrequency (%)
3978 1
< 0.1%
2435 1
< 0.1%
2215 1
< 0.1%
1999 1
< 0.1%
1954 1
< 0.1%

TS_183
Real number (ℝ)

Distinct1381
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.421883506
Minimum-3824
Maximum5321
Zeros163
Zeros (%)0.9%
Negative9990
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:30.731455image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3824
5-th percentile-201
Q1-61
median-10
Q355
95-th percentile272
Maximum5321
Range9145
Interquartile range (IQR)116

Descriptive statistics

Standard deviation207.1482646
Coefficient of variation (CV)27.91047103
Kurtosis61.43210829
Mean7.421883506
Median Absolute Deviation (MAD)57
Skewness0.8685481521
Sum136340
Variance42910.40353
MonotonicityNot monotonic
2023-01-04T23:38:31.103452image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-23 114
 
0.6%
-34 114
 
0.6%
-24 112
 
0.6%
-40 110
 
0.6%
-12 109
 
0.6%
-15 107
 
0.6%
-13 107
 
0.6%
-29 106
 
0.6%
-17 104
 
0.6%
Other values (1371) 17224
93.8%
ValueCountFrequency (%)
-3824 1
< 0.1%
-3579 1
< 0.1%
-3266 1
< 0.1%
-2783 1
< 0.1%
-2548 1
< 0.1%
ValueCountFrequency (%)
5321 1
< 0.1%
2816 1
< 0.1%
2560 1
< 0.1%
2453 1
< 0.1%
2263 1
< 0.1%

TS_184
Real number (ℝ)

Distinct1394
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.265432771
Minimum-3752
Maximum3081
Zeros159
Zeros (%)0.9%
Negative10013
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:38:31.485461image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3752
5-th percentile-199
Q1-61
median-10
Q355
95-th percentile273
Maximum3081
Range6833
Interquartile range (IQR)116

Descriptive statistics

Standard deviation204.4897209
Coefficient of variation (CV)28.14556645
Kurtosis36.0702568
Mean7.265432771
Median Absolute Deviation (MAD)57
Skewness0.3722243994
Sum133466
Variance41816.04593
MonotonicityNot monotonic
2023-01-04T23:38:31.872454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 159
 
0.9%
-28 111
 
0.6%
-15 110
 
0.6%
-29 106
 
0.6%
-23 106
 
0.6%
-22 104
 
0.6%
-34 103
 
0.6%
-12 101
 
0.5%
-11 101
 
0.5%
-32 100
 
0.5%
Other values (1384) 17269
94.0%
ValueCountFrequency (%)
-3752 1
< 0.1%
-2836 1
< 0.1%
-2643 1
< 0.1%
-2485 1
< 0.1%
-2378 1
< 0.1%
ValueCountFrequency (%)
3081 1
< 0.1%
2756 1
< 0.1%
2707 1
< 0.1%
2696 1
< 0.1%
2304 1
< 0.1%

TS_185
Real number (ℝ)

Distinct1358
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.338649973
Minimum-6933
Maximum3371
Zeros155
Zeros (%)0.8%
Negative9967
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:32.294456image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6933
5-th percentile-200
Q1-62
median-9
Q355
95-th percentile262
Maximum3371
Range10304
Interquartile range (IQR)117

Descriptive statistics

Standard deviation207.6977829
Coefficient of variation (CV)38.90455151
Kurtosis112.5389782
Mean5.338649973
Median Absolute Deviation (MAD)57
Skewness-2.5276293
Sum98071
Variance43138.36901
MonotonicityNot monotonic
2023-01-04T23:38:32.740452image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 155
 
0.8%
-30 113
 
0.6%
-15 111
 
0.6%
-31 109
 
0.6%
-12 105
 
0.6%
-19 104
 
0.6%
-18 104
 
0.6%
-6 104
 
0.6%
-8 104
 
0.6%
9 103
 
0.6%
Other values (1348) 17258
93.9%
ValueCountFrequency (%)
-6933 1
< 0.1%
-4604 1
< 0.1%
-3732 1
< 0.1%
-3212 1
< 0.1%
-3149 1
< 0.1%
ValueCountFrequency (%)
3371 1
< 0.1%
2497 1
< 0.1%
2162 1
< 0.1%
2111 1
< 0.1%
2006 1
< 0.1%

TS_186
Real number (ℝ)

Distinct1361
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.139466522
Minimum-4898
Maximum3511
Zeros165
Zeros (%)0.9%
Negative9924
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:38:33.208453image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4898
5-th percentile-192
Q1-60
median-9
Q355
95-th percentile270
Maximum3511
Range8409
Interquartile range (IQR)115

Descriptive statistics

Standard deviation210.544974
Coefficient of variation (CV)29.49029501
Kurtosis64.9587394
Mean7.139466522
Median Absolute Deviation (MAD)57
Skewness-1.004528514
Sum131152
Variance44329.18606
MonotonicityNot monotonic
2023-01-04T23:38:33.789460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
 
0.9%
-7 120
 
0.7%
-15 110
 
0.6%
-34 109
 
0.6%
-42 108
 
0.6%
-2 107
 
0.6%
2 105
 
0.6%
1 104
 
0.6%
-20 102
 
0.6%
-10 102
 
0.6%
Other values (1351) 17238
93.8%
ValueCountFrequency (%)
-4898 1
< 0.1%
-4626 1
< 0.1%
-3856 1
< 0.1%
-3129 1
< 0.1%
-2838 1
< 0.1%
ValueCountFrequency (%)
3511 1
< 0.1%
2609 1
< 0.1%
2425 1
< 0.1%
2398 1
< 0.1%
2370 1
< 0.1%

TS_187
Real number (ℝ)

Distinct1352
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.207512248
Minimum-4016
Maximum3324
Zeros172
Zeros (%)0.9%
Negative9944
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:34.594456image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4016
5-th percentile-192
Q1-61
median-9
Q356
95-th percentile266
Maximum3324
Range7340
Interquartile range (IQR)117

Descriptive statistics

Standard deviation203.4891296
Coefficient of variation (CV)32.78110802
Kurtosis52.51887958
Mean6.207512248
Median Absolute Deviation (MAD)57
Skewness-0.723864054
Sum114032
Variance41407.82585
MonotonicityNot monotonic
2023-01-04T23:38:35.073454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
 
0.9%
-21 113
 
0.6%
-15 111
 
0.6%
-19 111
 
0.6%
-29 109
 
0.6%
-30 108
 
0.6%
-34 106
 
0.6%
11 105
 
0.6%
-27 103
 
0.6%
-22 102
 
0.6%
Other values (1342) 17230
93.8%
ValueCountFrequency (%)
-4016 1
< 0.1%
-3822 1
< 0.1%
-3613 1
< 0.1%
-3469 1
< 0.1%
-2947 1
< 0.1%
ValueCountFrequency (%)
3324 1
< 0.1%
2738 1
< 0.1%
2681 1
< 0.1%
2450 1
< 0.1%
2361 1
< 0.1%

TS_188
Real number (ℝ)

Distinct1348
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.930538922
Minimum-4228
Maximum2840
Zeros164
Zeros (%)0.9%
Negative10040
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:38:35.477454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4228
5-th percentile-195
Q1-60
median-10
Q353.75
95-th percentile257.55
Maximum2840
Range7068
Interquartile range (IQR)113.75

Descriptive statistics

Standard deviation201.3564807
Coefficient of variation (CV)40.83863527
Kurtosis50.36108827
Mean4.930538922
Median Absolute Deviation (MAD)56
Skewness-0.4648794304
Sum90574
Variance40544.43232
MonotonicityNot monotonic
2023-01-04T23:38:35.931453image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
0.9%
-17 128
 
0.7%
-21 110
 
0.6%
-11 109
 
0.6%
-16 101
 
0.5%
-29 101
 
0.5%
-35 101
 
0.5%
-18 100
 
0.5%
4 100
 
0.5%
-46 99
 
0.5%
Other values (1338) 17257
93.9%
ValueCountFrequency (%)
-4228 1
< 0.1%
-3811 1
< 0.1%
-3421 1
< 0.1%
-3070 1
< 0.1%
-2661 1
< 0.1%
ValueCountFrequency (%)
2840 1
< 0.1%
2628 1
< 0.1%
2439 1
< 0.1%
2426 1
< 0.1%
2418 1
< 0.1%

TS_189
Real number (ℝ)

Distinct1344
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.001469788
Minimum-5874
Maximum5913
Zeros184
Zeros (%)1.0%
Negative9967
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:36.309454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5874
5-th percentile-192
Q1-58
median-9
Q356
95-th percentile268
Maximum5913
Range11787
Interquartile range (IQR)114

Descriptive statistics

Standard deviation204.427257
Coefficient of variation (CV)22.71043083
Kurtosis96.1523977
Mean9.001469788
Median Absolute Deviation (MAD)56
Skewness0.8396186351
Sum165357
Variance41790.5034
MonotonicityNot monotonic
2023-01-04T23:38:36.688459image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 184
 
1.0%
-11 121
 
0.7%
-24 120
 
0.7%
-23 116
 
0.6%
-19 114
 
0.6%
-16 114
 
0.6%
-50 113
 
0.6%
-5 109
 
0.6%
-58 107
 
0.6%
-2 106
 
0.6%
Other values (1334) 17166
93.4%
ValueCountFrequency (%)
-5874 1
< 0.1%
-3092 1
< 0.1%
-2217 1
< 0.1%
-2015 1
< 0.1%
-1968 1
< 0.1%
ValueCountFrequency (%)
5913 1
< 0.1%
2521 1
< 0.1%
2517 1
< 0.1%
2337 1
< 0.1%
2304 1
< 0.1%

TS_190
Real number (ℝ)

Distinct1339
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.30881873
Minimum-5348
Maximum5072
Zeros150
Zeros (%)0.8%
Negative9875
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:38:36.992453image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5348
5-th percentile-188
Q1-58
median-8
Q356
95-th percentile267
Maximum5072
Range10420
Interquartile range (IQR)114

Descriptive statistics

Standard deviation201.1310507
Coefficient of variation (CV)19.51058177
Kurtosis70.22255489
Mean10.30881873
Median Absolute Deviation (MAD)56
Skewness0.7102041919
Sum189373
Variance40453.69955
MonotonicityNot monotonic
2023-01-04T23:38:37.308561image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 150
 
0.8%
-11 118
 
0.6%
-23 112
 
0.6%
-22 110
 
0.6%
-37 106
 
0.6%
-40 105
 
0.6%
-45 105
 
0.6%
-7 105
 
0.6%
-14 104
 
0.6%
-38 104
 
0.6%
Other values (1329) 17251
93.9%
ValueCountFrequency (%)
-5348 1
< 0.1%
-2487 1
< 0.1%
-2432 1
< 0.1%
-2346 1
< 0.1%
-2341 1
< 0.1%
ValueCountFrequency (%)
5072 1
< 0.1%
2452 1
< 0.1%
2157 1
< 0.1%
2128 2
< 0.1%
2126 1
< 0.1%

TS_191
Real number (ℝ)

Distinct1391
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.70860098
Minimum-3368
Maximum4566
Zeros199
Zeros (%)1.1%
Negative9931
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:38:37.715058image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3368
5-th percentile-193
Q1-59
median-8
Q356
95-th percentile283
Maximum4566
Range7934
Interquartile range (IQR)115

Descriptive statistics

Standard deviation206.4112214
Coefficient of variation (CV)17.62902517
Kurtosis43.66118303
Mean11.70860098
Median Absolute Deviation (MAD)57
Skewness2.146167827
Sum215087
Variance42605.59231
MonotonicityNot monotonic
2023-01-04T23:38:38.110116image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 199
 
1.1%
-6 116
 
0.6%
-36 112
 
0.6%
-16 109
 
0.6%
-27 108
 
0.6%
-17 106
 
0.6%
-13 105
 
0.6%
-1 103
 
0.6%
-3 103
 
0.6%
-29 103
 
0.6%
Other values (1381) 17206
93.7%
ValueCountFrequency (%)
-3368 1
< 0.1%
-2226 1
< 0.1%
-2198 1
< 0.1%
-2176 1
< 0.1%
-1682 1
< 0.1%
ValueCountFrequency (%)
4566 1
< 0.1%
3638 1
< 0.1%
3433 1
< 0.1%
2286 1
< 0.1%
2247 1
< 0.1%

TS_192
Real number (ℝ)

Distinct1361
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.699129015
Minimum-4886
Maximum3925
Zeros162
Zeros (%)0.9%
Negative9972
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:38:38.436175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4886
5-th percentile-191
Q1-60
median-9
Q354
95-th percentile277.55
Maximum3925
Range8811
Interquartile range (IQR)114

Descriptive statistics

Standard deviation202.2213787
Coefficient of variation (CV)20.84943693
Kurtosis49.23344486
Mean9.699129015
Median Absolute Deviation (MAD)56
Skewness0.7638671054
Sum178173
Variance40893.48599
MonotonicityNot monotonic
2023-01-04T23:38:38.809296image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
0.9%
-21 122
 
0.7%
-26 114
 
0.6%
-10 113
 
0.6%
-32 113
 
0.6%
-22 112
 
0.6%
-9 109
 
0.6%
-23 105
 
0.6%
2 102
 
0.6%
-25 102
 
0.6%
Other values (1351) 17216
93.7%
ValueCountFrequency (%)
-4886 1
< 0.1%
-2718 1
< 0.1%
-2646 1
< 0.1%
-2281 1
< 0.1%
-1897 1
< 0.1%
ValueCountFrequency (%)
3925 1
< 0.1%
2922 1
< 0.1%
2233 1
< 0.1%
2215 1
< 0.1%
2121 1
< 0.1%

TS_193
Real number (ℝ)

Distinct1349
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.84877518
Minimum-4064
Maximum3127
Zeros176
Zeros (%)1.0%
Negative9999
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:39.145323image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4064
5-th percentile-189
Q1-60
median-9
Q354
95-th percentile275
Maximum3127
Range7191
Interquartile range (IQR)114

Descriptive statistics

Standard deviation197.9300372
Coefficient of variation (CV)18.2444593
Kurtosis35.11243832
Mean10.84877518
Median Absolute Deviation (MAD)56
Skewness1.165295734
Sum199292
Variance39176.29963
MonotonicityNot monotonic
2023-01-04T23:38:39.487348image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
1.0%
-38 112
 
0.6%
-22 112
 
0.6%
-5 112
 
0.6%
-29 110
 
0.6%
-13 110
 
0.6%
-52 110
 
0.6%
-41 106
 
0.6%
-16 104
 
0.6%
-7 103
 
0.6%
Other values (1339) 17215
93.7%
ValueCountFrequency (%)
-4064 1
< 0.1%
-2425 1
< 0.1%
-2185 1
< 0.1%
-2003 1
< 0.1%
-1912 1
< 0.1%
ValueCountFrequency (%)
3127 1
< 0.1%
3046 1
< 0.1%
2134 1
< 0.1%
2089 1
< 0.1%
1992 1
< 0.1%

TS_194
Real number (ℝ)

Distinct1330
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.395046271
Minimum-3239
Maximum2975
Zeros186
Zeros (%)1.0%
Negative10029
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:38:40.096336image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3239
5-th percentile-194
Q1-60
median-10
Q354
95-th percentile272.55
Maximum2975
Range6214
Interquartile range (IQR)114

Descriptive statistics

Standard deviation196.1868014
Coefficient of variation (CV)20.88194094
Kurtosis36.15670524
Mean9.395046271
Median Absolute Deviation (MAD)56
Skewness1.295231518
Sum172587
Variance38489.26105
MonotonicityNot monotonic
2023-01-04T23:38:40.389356image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
 
1.0%
-7 113
 
0.6%
-17 113
 
0.6%
-19 112
 
0.6%
-24 109
 
0.6%
-21 109
 
0.6%
-49 106
 
0.6%
-2 105
 
0.6%
-40 105
 
0.6%
-23 104
 
0.6%
Other values (1320) 17208
93.7%
ValueCountFrequency (%)
-3239 1
< 0.1%
-3191 1
< 0.1%
-2670 1
< 0.1%
-2133 1
< 0.1%
-1939 1
< 0.1%
ValueCountFrequency (%)
2975 1
< 0.1%
2922 1
< 0.1%
2875 1
< 0.1%
2822 1
< 0.1%
2507 1
< 0.1%

TS_195
Real number (ℝ)

Distinct1366
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.421121394
Minimum-3007
Maximum4898
Zeros154
Zeros (%)0.8%
Negative10136
Negative (%)55.2%
Memory size143.6 KiB
2023-01-04T23:38:40.724136image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3007
5-th percentile-196
Q1-61
median-11
Q353
95-th percentile267
Maximum4898
Range7905
Interquartile range (IQR)114

Descriptive statistics

Standard deviation202.313384
Coefficient of variation (CV)27.2618346
Kurtosis44.04748059
Mean7.421121394
Median Absolute Deviation (MAD)56
Skewness1.670954773
Sum136326
Variance40930.70533
MonotonicityNot monotonic
2023-01-04T23:38:41.019145image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 154
 
0.8%
-30 112
 
0.6%
-17 111
 
0.6%
-36 110
 
0.6%
-3 107
 
0.6%
-29 106
 
0.6%
-38 105
 
0.6%
-14 105
 
0.6%
-40 105
 
0.6%
-12 104
 
0.6%
Other values (1356) 17251
93.9%
ValueCountFrequency (%)
-3007 1
< 0.1%
-2495 1
< 0.1%
-2447 1
< 0.1%
-2431 1
< 0.1%
-2102 1
< 0.1%
ValueCountFrequency (%)
4898 1
< 0.1%
2833 1
< 0.1%
2653 1
< 0.1%
2383 1
< 0.1%
1853 1
< 0.1%

TS_196
Real number (ℝ)

Distinct1351
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.701741971
Minimum-3880
Maximum4872
Zeros162
Zeros (%)0.9%
Negative10039
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:38:41.399136image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3880
5-th percentile-196
Q1-61
median-10
Q355
95-th percentile266
Maximum4872
Range8752
Interquartile range (IQR)116

Descriptive statistics

Standard deviation203.1486789
Coefficient of variation (CV)26.37697805
Kurtosis55.42016658
Mean7.701741971
Median Absolute Deviation (MAD)57
Skewness1.189094801
Sum141481
Variance41269.38575
MonotonicityNot monotonic
2023-01-04T23:38:41.693137image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
0.9%
-35 114
 
0.6%
-34 114
 
0.6%
-23 113
 
0.6%
-28 113
 
0.6%
-19 109
 
0.6%
-11 109
 
0.6%
-31 107
 
0.6%
-25 107
 
0.6%
-15 107
 
0.6%
Other values (1341) 17215
93.7%
ValueCountFrequency (%)
-3880 1
< 0.1%
-3071 1
< 0.1%
-2885 1
< 0.1%
-2662 1
< 0.1%
-2555 1
< 0.1%
ValueCountFrequency (%)
4872 1
< 0.1%
3229 1
< 0.1%
2620 1
< 0.1%
2429 1
< 0.1%
2286 1
< 0.1%

TS_197
Real number (ℝ)

Distinct1346
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.508546543
Minimum-3284
Maximum4722
Zeros160
Zeros (%)0.9%
Negative10047
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:38:42.013137image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3284
5-th percentile-193
Q1-60
median-11
Q354
95-th percentile273
Maximum4722
Range8006
Interquartile range (IQR)114

Descriptive statistics

Standard deviation203.8227123
Coefficient of variation (CV)27.14542836
Kurtosis60.26298977
Mean7.508546543
Median Absolute Deviation (MAD)56
Skewness1.960467184
Sum137932
Variance41543.69803
MonotonicityNot monotonic
2023-01-04T23:38:42.747741image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-24 123
 
0.7%
-21 116
 
0.6%
-28 113
 
0.6%
-20 112
 
0.6%
-19 112
 
0.6%
-16 110
 
0.6%
-25 107
 
0.6%
-17 107
 
0.6%
-37 106
 
0.6%
Other values (1336) 17204
93.7%
ValueCountFrequency (%)
-3284 1
< 0.1%
-2682 1
< 0.1%
-2463 1
< 0.1%
-2313 2
< 0.1%
-2083 2
< 0.1%
ValueCountFrequency (%)
4722 1
< 0.1%
4426 1
< 0.1%
3555 1
< 0.1%
2939 1
< 0.1%
2737 1
< 0.1%

TS_198
Real number (ℝ)

Distinct1366
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.74953729
Minimum-3420
Maximum4603
Zeros190
Zeros (%)1.0%
Negative9953
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:38:43.180679image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3420
5-th percentile-188.55
Q1-59
median-9
Q355
95-th percentile281
Maximum4603
Range8023
Interquartile range (IQR)114

Descriptive statistics

Standard deviation211.2170987
Coefficient of variation (CV)17.97663121
Kurtosis56.72240327
Mean11.74953729
Median Absolute Deviation (MAD)56
Skewness2.59542292
Sum215839
Variance44612.66278
MonotonicityNot monotonic
2023-01-04T23:38:43.545681image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190
 
1.0%
-8 117
 
0.6%
-40 117
 
0.6%
-20 111
 
0.6%
-25 110
 
0.6%
-11 109
 
0.6%
-21 109
 
0.6%
-31 109
 
0.6%
-35 108
 
0.6%
-17 108
 
0.6%
Other values (1356) 17182
93.5%
ValueCountFrequency (%)
-3420 1
< 0.1%
-3017 1
< 0.1%
-2093 1
< 0.1%
-2031 1
< 0.1%
-1971 1
< 0.1%
ValueCountFrequency (%)
4603 1
< 0.1%
4277 1
< 0.1%
3672 1
< 0.1%
3499 1
< 0.1%
3278 1
< 0.1%

TS_199
Real number (ℝ)

Distinct1348
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.21295591
Minimum-5528
Maximum5348
Zeros194
Zeros (%)1.1%
Negative9956
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:38:43.959703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5528
5-th percentile-188
Q1-59
median-9
Q355
95-th percentile273
Maximum5348
Range10876
Interquartile range (IQR)114

Descriptive statistics

Standard deviation208.6938098
Coefficient of variation (CV)18.61184612
Kurtosis84.16650716
Mean11.21295591
Median Absolute Deviation (MAD)56
Skewness1.878570904
Sum205982
Variance43553.10626
MonotonicityNot monotonic
2023-01-04T23:38:44.784702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 194
 
1.1%
-29 113
 
0.6%
-24 110
 
0.6%
-19 110
 
0.6%
-27 109
 
0.6%
-17 109
 
0.6%
-6 107
 
0.6%
-20 107
 
0.6%
-28 107
 
0.6%
-11 106
 
0.6%
Other values (1338) 17198
93.6%
ValueCountFrequency (%)
-5528 1
< 0.1%
-2945 1
< 0.1%
-2305 1
< 0.1%
-2299 1
< 0.1%
-1713 1
< 0.1%
ValueCountFrequency (%)
5348 1
< 0.1%
3829 1
< 0.1%
3494 1
< 0.1%
3093 1
< 0.1%
2941 1
< 0.1%

TS_200
Real number (ℝ)

Distinct1388
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.07996734
Minimum-3607
Maximum5304
Zeros182
Zeros (%)1.0%
Negative9989
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:45.206698image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3607
5-th percentile-191.55
Q1-59
median-10
Q354
95-th percentile279
Maximum5304
Range8911
Interquartile range (IQR)113

Descriptive statistics

Standard deviation209.9380752
Coefficient of variation (CV)18.94753556
Kurtosis55.15200518
Mean11.07996734
Median Absolute Deviation (MAD)56
Skewness2.29257106
Sum203539
Variance44073.9954
MonotonicityNot monotonic
2023-01-04T23:38:45.578756image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 182
 
1.0%
-25 118
 
0.6%
-27 114
 
0.6%
-26 114
 
0.6%
-39 112
 
0.6%
-17 111
 
0.6%
-28 111
 
0.6%
-13 109
 
0.6%
-11 106
 
0.6%
-42 105
 
0.6%
Other values (1378) 17188
93.6%
ValueCountFrequency (%)
-3607 1
< 0.1%
-2323 1
< 0.1%
-2297 1
< 0.1%
-2186 1
< 0.1%
-1992 1
< 0.1%
ValueCountFrequency (%)
5304 1
< 0.1%
3454 1
< 0.1%
3091 1
< 0.1%
2993 1
< 0.1%
2964 1
< 0.1%

TS_201
Real number (ℝ)

Distinct1367
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.10740338
Minimum-5074
Maximum6514
Zeros180
Zeros (%)1.0%
Negative10019
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:38:46.031755image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5074
5-th percentile-195
Q1-59
median-9
Q354
95-th percentile282
Maximum6514
Range11588
Interquartile range (IQR)113

Descriptive statistics

Standard deviation208.452134
Coefficient of variation (CV)18.76695453
Kurtosis94.15577806
Mean11.10740338
Median Absolute Deviation (MAD)56
Skewness2.316360508
Sum204043
Variance43452.29218
MonotonicityNot monotonic
2023-01-04T23:38:46.526757image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
1.0%
-9 122
 
0.7%
-31 115
 
0.6%
-20 112
 
0.6%
-21 109
 
0.6%
-32 108
 
0.6%
-8 108
 
0.6%
-15 108
 
0.6%
-4 105
 
0.6%
-24 104
 
0.6%
Other values (1357) 17199
93.6%
ValueCountFrequency (%)
-5074 1
< 0.1%
-3098 1
< 0.1%
-2196 1
< 0.1%
-1912 1
< 0.1%
-1900 1
< 0.1%
ValueCountFrequency (%)
6514 1
< 0.1%
3030 1
< 0.1%
2879 1
< 0.1%
2650 1
< 0.1%
2321 1
< 0.1%

TS_202
Real number (ℝ)

Distinct1336
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.38034839
Minimum-4022
Maximum3006
Zeros176
Zeros (%)1.0%
Negative9918
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:38:47.041758image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4022
5-th percentile-187
Q1-59
median-9
Q354
95-th percentile279
Maximum3006
Range7028
Interquartile range (IQR)113

Descriptive statistics

Standard deviation201.948083
Coefficient of variation (CV)16.31198708
Kurtosis39.01068095
Mean12.38034839
Median Absolute Deviation (MAD)56
Skewness1.314600772
Sum227427
Variance40783.02823
MonotonicityNot monotonic
2023-01-04T23:38:47.351698image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
1.0%
-27 115
 
0.6%
-23 110
 
0.6%
-28 109
 
0.6%
-19 109
 
0.6%
-10 107
 
0.6%
-45 106
 
0.6%
-34 106
 
0.6%
-14 105
 
0.6%
-11 104
 
0.6%
Other values (1326) 17223
93.8%
ValueCountFrequency (%)
-4022 1
< 0.1%
-2864 1
< 0.1%
-2493 1
< 0.1%
-2467 1
< 0.1%
-2408 1
< 0.1%
ValueCountFrequency (%)
3006 1
< 0.1%
2954 1
< 0.1%
2759 1
< 0.1%
2712 1
< 0.1%
2562 1
< 0.1%

TS_203
Real number (ℝ)

Distinct1370
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.01633097
Minimum-3420
Maximum4107
Zeros171
Zeros (%)0.9%
Negative10054
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:38:47.697660image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3420
5-th percentile-193
Q1-59
median-10
Q354
95-th percentile277
Maximum4107
Range7527
Interquartile range (IQR)113

Descriptive statistics

Standard deviation202.0888588
Coefficient of variation (CV)20.17593661
Kurtosis45.34330529
Mean10.01633097
Median Absolute Deviation (MAD)56
Skewness1.716720785
Sum184000
Variance40839.90686
MonotonicityNot monotonic
2023-01-04T23:38:47.981638image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 171
 
0.9%
-25 125
 
0.7%
-20 120
 
0.7%
-21 118
 
0.6%
-35 116
 
0.6%
-18 115
 
0.6%
-33 111
 
0.6%
-16 110
 
0.6%
-15 110
 
0.6%
-17 109
 
0.6%
Other values (1360) 17165
93.4%
ValueCountFrequency (%)
-3420 1
< 0.1%
-3343 1
< 0.1%
-2162 1
< 0.1%
-1909 1
< 0.1%
-1821 1
< 0.1%
ValueCountFrequency (%)
4107 1
< 0.1%
4026 1
< 0.1%
3075 1
< 0.1%
2373 1
< 0.1%
2371 1
< 0.1%

TS_204
Real number (ℝ)

Distinct1364
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.861513337
Minimum-3452
Maximum3345
Zeros172
Zeros (%)0.9%
Negative9992
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:48.267640image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3452
5-th percentile-194
Q1-60.75
median-9
Q355
95-th percentile278
Maximum3345
Range6797
Interquartile range (IQR)115.75

Descriptive statistics

Standard deviation200.9567455
Coefficient of variation (CV)20.37788103
Kurtosis35.5291858
Mean9.861513337
Median Absolute Deviation (MAD)57
Skewness1.470651045
Sum181156
Variance40383.61357
MonotonicityNot monotonic
2023-01-04T23:38:48.610641image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
 
0.9%
-22 114
 
0.6%
-31 111
 
0.6%
-23 108
 
0.6%
-8 107
 
0.6%
-25 106
 
0.6%
-13 106
 
0.6%
-26 105
 
0.6%
-21 104
 
0.6%
-16 104
 
0.6%
Other values (1354) 17233
93.8%
ValueCountFrequency (%)
-3452 1
< 0.1%
-3142 1
< 0.1%
-2329 1
< 0.1%
-2029 1
< 0.1%
-1758 1
< 0.1%
ValueCountFrequency (%)
3345 1
< 0.1%
3057 1
< 0.1%
2925 1
< 0.1%
2594 1
< 0.1%
2390 1
< 0.1%

TS_205
Real number (ℝ)

Distinct1329
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.564997278
Minimum-3219
Maximum3138
Zeros204
Zeros (%)1.1%
Negative10006
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:38:49.546681image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3219
5-th percentile-192
Q1-61
median-9
Q353
95-th percentile264
Maximum3138
Range6357
Interquartile range (IQR)114

Descriptive statistics

Standard deviation197.0878596
Coefficient of variation (CV)26.05260153
Kurtosis34.69115951
Mean7.564997278
Median Absolute Deviation (MAD)56
Skewness1.061969662
Sum138969
Variance38843.62442
MonotonicityNot monotonic
2023-01-04T23:38:50.195639image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 204
 
1.1%
-25 123
 
0.7%
-19 111
 
0.6%
-22 111
 
0.6%
-23 110
 
0.6%
-36 107
 
0.6%
-17 106
 
0.6%
-11 104
 
0.6%
-12 103
 
0.6%
-20 103
 
0.6%
Other values (1319) 17188
93.6%
ValueCountFrequency (%)
-3219 1
< 0.1%
-2934 1
< 0.1%
-2663 1
< 0.1%
-2488 1
< 0.1%
-2251 1
< 0.1%
ValueCountFrequency (%)
3138 1
< 0.1%
3036 1
< 0.1%
2202 1
< 0.1%
2087 1
< 0.1%
1999 1
< 0.1%

TS_206
Real number (ℝ)

Distinct1345
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.295264017
Minimum-4536
Maximum6663
Zeros170
Zeros (%)0.9%
Negative9924
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:38:50.594638image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4536
5-th percentile-187
Q1-60
median-8.5
Q355
95-th percentile271
Maximum6663
Range11199
Interquartile range (IQR)115

Descriptive statistics

Standard deviation206.7568787
Coefficient of variation (CV)22.24324972
Kurtosis105.3694585
Mean9.295264017
Median Absolute Deviation (MAD)56.5
Skewness2.502002384
Sum170754
Variance42748.40691
MonotonicityNot monotonic
2023-01-04T23:38:51.140642image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-12 110
 
0.6%
-31 108
 
0.6%
-3 107
 
0.6%
-53 107
 
0.6%
-39 106
 
0.6%
-28 104
 
0.6%
-43 103
 
0.6%
-26 102
 
0.6%
-30 101
 
0.5%
Other values (1335) 17252
93.9%
ValueCountFrequency (%)
-4536 1
< 0.1%
-3295 1
< 0.1%
-2729 1
< 0.1%
-2318 1
< 0.1%
-2229 1
< 0.1%
ValueCountFrequency (%)
6663 1
< 0.1%
3883 1
< 0.1%
3480 1
< 0.1%
3199 1
< 0.1%
2617 1
< 0.1%

TS_207
Real number (ℝ)

Distinct1358
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.675503538
Minimum-3038
Maximum4100
Zeros179
Zeros (%)1.0%
Negative9949
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:38:51.672646image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3038
5-th percentile-189
Q1-60
median-9
Q354
95-th percentile275
Maximum4100
Range7138
Interquartile range (IQR)114

Descriptive statistics

Standard deviation201.8020811
Coefficient of variation (CV)20.85701073
Kurtosis41.72157364
Mean9.675503538
Median Absolute Deviation (MAD)56
Skewness1.018662887
Sum177739
Variance40724.07995
MonotonicityNot monotonic
2023-01-04T23:38:52.309637image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-16 120
 
0.7%
-27 110
 
0.6%
-13 110
 
0.6%
-32 109
 
0.6%
11 107
 
0.6%
-30 107
 
0.6%
-31 105
 
0.6%
-5 103
 
0.6%
-22 103
 
0.6%
Other values (1348) 17217
93.7%
ValueCountFrequency (%)
-3038 1
< 0.1%
-2805 1
< 0.1%
-2661 1
< 0.1%
-2643 1
< 0.1%
-2475 1
< 0.1%
ValueCountFrequency (%)
4100 1
< 0.1%
3440 1
< 0.1%
2525 1
< 0.1%
2254 1
< 0.1%
2219 1
< 0.1%

TS_208
Real number (ℝ)

Distinct1340
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.745998911
Minimum-5020
Maximum3894
Zeros183
Zeros (%)1.0%
Negative10026
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:38:52.765640image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5020
5-th percentile-192
Q1-60
median-10
Q354
95-th percentile275
Maximum3894
Range8914
Interquartile range (IQR)114

Descriptive statistics

Standard deviation197.9630251
Coefficient of variation (CV)25.55681034
Kurtosis55.26761741
Mean7.745998911
Median Absolute Deviation (MAD)56
Skewness0.02953570584
Sum142294
Variance39189.35929
MonotonicityNot monotonic
2023-01-04T23:38:53.325640image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
1.0%
-17 114
 
0.6%
-19 112
 
0.6%
-26 110
 
0.6%
-29 109
 
0.6%
-21 109
 
0.6%
-22 107
 
0.6%
-41 105
 
0.6%
-35 105
 
0.6%
-20 104
 
0.6%
Other values (1330) 17212
93.7%
ValueCountFrequency (%)
-5020 1
< 0.1%
-2981 1
< 0.1%
-2808 1
< 0.1%
-2520 1
< 0.1%
-2504 1
< 0.1%
ValueCountFrequency (%)
3894 1
< 0.1%
2764 1
< 0.1%
2360 1
< 0.1%
2037 1
< 0.1%
1874 1
< 0.1%

TS_209
Real number (ℝ)

Distinct1359
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.348230811
Minimum-3026
Maximum3581
Zeros149
Zeros (%)0.8%
Negative9999
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:54.235642image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3026
5-th percentile-199
Q1-60
median-10
Q353
95-th percentile268
Maximum3581
Range6607
Interquartile range (IQR)113

Descriptive statistics

Standard deviation199.600794
Coefficient of variation (CV)31.44195602
Kurtosis35.07468123
Mean6.348230811
Median Absolute Deviation (MAD)56
Skewness0.668829733
Sum116617
Variance39840.47696
MonotonicityNot monotonic
2023-01-04T23:38:56.136642image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149
 
0.8%
-31 113
 
0.6%
-15 110
 
0.6%
-27 110
 
0.6%
-34 110
 
0.6%
-29 110
 
0.6%
2 108
 
0.6%
-41 106
 
0.6%
-22 105
 
0.6%
-32 104
 
0.6%
Other values (1349) 17245
93.9%
ValueCountFrequency (%)
-3026 1
< 0.1%
-2815 1
< 0.1%
-2729 1
< 0.1%
-2691 1
< 0.1%
-2288 1
< 0.1%
ValueCountFrequency (%)
3581 1
< 0.1%
2755 1
< 0.1%
2574 1
< 0.1%
1996 1
< 0.1%
1944 1
< 0.1%

TS_210
Real number (ℝ)

Distinct1362
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.439031029
Minimum-3053
Maximum2428
Zeros183
Zeros (%)1.0%
Negative9880
Negative (%)53.8%
Memory size143.6 KiB
2023-01-04T23:38:58.474794image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3053
5-th percentile-194.55
Q1-60
median-8
Q355
95-th percentile280
Maximum2428
Range5481
Interquartile range (IQR)115

Descriptive statistics

Standard deviation197.6036433
Coefficient of variation (CV)23.41544221
Kurtosis29.58711159
Mean8.439031029
Median Absolute Deviation (MAD)57
Skewness0.2066686255
Sum155025
Variance39047.19986
MonotonicityNot monotonic
2023-01-04T23:38:59.171792image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
1.0%
-26 109
 
0.6%
-2 109
 
0.6%
-33 106
 
0.6%
-14 105
 
0.6%
-16 104
 
0.6%
-29 104
 
0.6%
-36 103
 
0.6%
-7 101
 
0.5%
-32 100
 
0.5%
Other values (1352) 17246
93.9%
ValueCountFrequency (%)
-3053 1
< 0.1%
-2929 1
< 0.1%
-2895 1
< 0.1%
-2666 1
< 0.1%
-2591 1
< 0.1%
ValueCountFrequency (%)
2428 1
< 0.1%
2375 1
< 0.1%
2327 1
< 0.1%
1726 1
< 0.1%
1687 1
< 0.1%

TS_211
Real number (ℝ)

Distinct1346
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.454001089
Minimum-2756
Maximum2648
Zeros165
Zeros (%)0.9%
Negative10001
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:38:59.664795image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2756
5-th percentile-195
Q1-60
median-10
Q352
95-th percentile265
Maximum2648
Range5404
Interquartile range (IQR)112

Descriptive statistics

Standard deviation192.4321008
Coefficient of variation (CV)35.28273972
Kurtosis27.15467304
Mean5.454001089
Median Absolute Deviation (MAD)56
Skewness0.4640931955
Sum100190
Variance37030.11343
MonotonicityNot monotonic
2023-01-04T23:39:00.191793image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
 
0.9%
-38 114
 
0.6%
-16 111
 
0.6%
-28 106
 
0.6%
-22 106
 
0.6%
-21 106
 
0.6%
-33 106
 
0.6%
-47 105
 
0.6%
-31 105
 
0.6%
-20 104
 
0.6%
Other values (1336) 17242
93.9%
ValueCountFrequency (%)
-2756 1
< 0.1%
-2510 1
< 0.1%
-2481 1
< 0.1%
-2440 1
< 0.1%
-2176 1
< 0.1%
ValueCountFrequency (%)
2648 1
< 0.1%
2147 1
< 0.1%
2019 1
< 0.1%
1831 1
< 0.1%
1782 1
< 0.1%

TS_212
Real number (ℝ)

Distinct1362
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.903701688
Minimum-3432
Maximum2630
Zeros164
Zeros (%)0.9%
Negative10028
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:00.724794image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3432
5-th percentile-192
Q1-59
median-10
Q353
95-th percentile268
Maximum2630
Range6062
Interquartile range (IQR)112

Descriptive statistics

Standard deviation196.5433394
Coefficient of variation (CV)24.86725172
Kurtosis29.99194367
Mean7.903701688
Median Absolute Deviation (MAD)55
Skewness0.7389917815
Sum145191
Variance38629.28426
MonotonicityNot monotonic
2023-01-04T23:39:01.425794image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
0.9%
-30 118
 
0.6%
-33 112
 
0.6%
-28 111
 
0.6%
-15 109
 
0.6%
-24 109
 
0.6%
-16 109
 
0.6%
-41 107
 
0.6%
-42 107
 
0.6%
-45 103
 
0.6%
Other values (1352) 17221
93.7%
ValueCountFrequency (%)
-3432 1
< 0.1%
-2880 1
< 0.1%
-2338 1
< 0.1%
-2145 1
< 0.1%
-1960 1
< 0.1%
ValueCountFrequency (%)
2630 1
< 0.1%
2086 1
< 0.1%
2072 1
< 0.1%
1944 1
< 0.1%
1931 1
< 0.1%

TS_213
Real number (ℝ)

Distinct1337
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.045508982
Minimum-4341
Maximum3531
Zeros173
Zeros (%)0.9%
Negative10013
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:39:03.076972image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4341
5-th percentile-194
Q1-59
median-9
Q353
95-th percentile262
Maximum3531
Range7872
Interquartile range (IQR)112

Descriptive statistics

Standard deviation195.8570493
Coefficient of variation (CV)24.34364933
Kurtosis42.01240293
Mean8.045508982
Median Absolute Deviation (MAD)56
Skewness1.159462835
Sum147796
Variance38359.98377
MonotonicityNot monotonic
2023-01-04T23:39:04.384187image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.9%
-8 123
 
0.7%
-27 117
 
0.6%
-30 115
 
0.6%
-21 114
 
0.6%
-28 110
 
0.6%
-14 110
 
0.6%
-39 106
 
0.6%
-36 105
 
0.6%
-16 104
 
0.6%
Other values (1327) 17193
93.6%
ValueCountFrequency (%)
-4341 1
< 0.1%
-2660 1
< 0.1%
-2212 1
< 0.1%
-1870 1
< 0.1%
-1784 1
< 0.1%
ValueCountFrequency (%)
3531 1
< 0.1%
3052 1
< 0.1%
2327 1
< 0.1%
2254 1
< 0.1%
2178 1
< 0.1%

TS_214
Real number (ℝ)

Distinct1355
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.209798585
Minimum-3137
Maximum3347
Zeros183
Zeros (%)1.0%
Negative9964
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:39:06.214603image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3137
5-th percentile-191
Q1-60
median-9
Q355
95-th percentile269
Maximum3347
Range6484
Interquartile range (IQR)115

Descriptive statistics

Standard deviation200.2956062
Coefficient of variation (CV)21.74809844
Kurtosis37.49215824
Mean9.209798585
Median Absolute Deviation (MAD)56
Skewness0.97113156
Sum169184
Variance40118.32987
MonotonicityNot monotonic
2023-01-04T23:39:07.026764image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
1.0%
-19 117
 
0.6%
-16 116
 
0.6%
-10 112
 
0.6%
-22 110
 
0.6%
-34 109
 
0.6%
-21 108
 
0.6%
-24 107
 
0.6%
-39 105
 
0.6%
-3 103
 
0.6%
Other values (1345) 17200
93.6%
ValueCountFrequency (%)
-3137 1
< 0.1%
-3094 1
< 0.1%
-2723 1
< 0.1%
-2616 1
< 0.1%
-2604 1
< 0.1%
ValueCountFrequency (%)
3347 1
< 0.1%
2876 1
< 0.1%
2609 1
< 0.1%
2541 1
< 0.1%
2365 1
< 0.1%

TS_215
Real number (ℝ)

Distinct1314
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.340500817
Minimum-3664
Maximum3795
Zeros171
Zeros (%)0.9%
Negative9998
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:39:08.591819image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3664
5-th percentile-201
Q1-60
median-9
Q355
95-th percentile262
Maximum3795
Range7459
Interquartile range (IQR)115

Descriptive statistics

Standard deviation191.1289511
Coefficient of variation (CV)26.03759007
Kurtosis35.61250841
Mean7.340500817
Median Absolute Deviation (MAD)57
Skewness1.555046479
Sum134845
Variance36530.27596
MonotonicityNot monotonic
2023-01-04T23:39:09.766818image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 171
 
0.9%
-29 114
 
0.6%
-14 107
 
0.6%
-10 107
 
0.6%
-33 106
 
0.6%
-24 105
 
0.6%
-27 105
 
0.6%
-13 103
 
0.6%
-46 102
 
0.6%
-23 102
 
0.6%
Other values (1304) 17248
93.9%
ValueCountFrequency (%)
-3664 1
< 0.1%
-2326 1
< 0.1%
-1692 1
< 0.1%
-1652 1
< 0.1%
-1417 1
< 0.1%
ValueCountFrequency (%)
3795 1
< 0.1%
2829 1
< 0.1%
2265 1
< 0.1%
2179 1
< 0.1%
1923 1
< 0.1%

TS_216
Real number (ℝ)

Distinct1338
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.112629287
Minimum-3244
Maximum5833
Zeros160
Zeros (%)0.9%
Negative10026
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:10.955817image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3244
5-th percentile-191
Q1-60
median-10
Q354
95-th percentile267
Maximum5833
Range9077
Interquartile range (IQR)114

Descriptive statistics

Standard deviation201.9990716
Coefficient of variation (CV)22.16693615
Kurtosis91.73176858
Mean9.112629287
Median Absolute Deviation (MAD)56
Skewness3.756505471
Sum167399
Variance40803.62491
MonotonicityNot monotonic
2023-01-04T23:39:12.324817image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-51 114
 
0.6%
-27 110
 
0.6%
-18 108
 
0.6%
-25 106
 
0.6%
-23 105
 
0.6%
-29 105
 
0.6%
-14 104
 
0.6%
-1 102
 
0.6%
-17 102
 
0.6%
Other values (1328) 17254
93.9%
ValueCountFrequency (%)
-3244 1
< 0.1%
-2508 1
< 0.1%
-1855 1
< 0.1%
-1720 1
< 0.1%
-1639 1
< 0.1%
ValueCountFrequency (%)
5833 1
< 0.1%
5431 1
< 0.1%
3396 1
< 0.1%
2788 1
< 0.1%
2457 1
< 0.1%

TS_217
Real number (ℝ)

Distinct1333
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.83424061
Minimum-3189
Maximum6253
Zeros181
Zeros (%)1.0%
Negative10062
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:39:13.573714image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3189
5-th percentile-191
Q1-60
median-10
Q353
95-th percentile259
Maximum6253
Range9442
Interquartile range (IQR)113

Descriptive statistics

Standard deviation207.759887
Coefficient of variation (CV)26.51946721
Kurtosis122.3095418
Mean7.83424061
Median Absolute Deviation (MAD)56
Skewness4.427394379
Sum143915
Variance43164.17063
MonotonicityNot monotonic
2023-01-04T23:39:14.614915image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
1.0%
-7 119
 
0.6%
-13 119
 
0.6%
-25 115
 
0.6%
-28 113
 
0.6%
-23 108
 
0.6%
-19 108
 
0.6%
-4 107
 
0.6%
-9 107
 
0.6%
-35 106
 
0.6%
Other values (1323) 17187
93.6%
ValueCountFrequency (%)
-3189 1
< 0.1%
-2875 1
< 0.1%
-2492 1
< 0.1%
-2177 1
< 0.1%
-1946 1
< 0.1%
ValueCountFrequency (%)
6253 1
< 0.1%
5623 1
< 0.1%
5198 1
< 0.1%
3832 1
< 0.1%
2783 1
< 0.1%

TS_218
Real number (ℝ)

Distinct1350
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.82357104
Minimum-3929
Maximum5938
Zeros161
Zeros (%)0.9%
Negative10096
Negative (%)55.0%
Memory size143.6 KiB
2023-01-04T23:39:16.057902image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3929
5-th percentile-195
Q1-61
median-10
Q352
95-th percentile263
Maximum5938
Range9867
Interquartile range (IQR)113

Descriptive statistics

Standard deviation207.4735839
Coefficient of variation (CV)26.51903879
Kurtosis102.2378948
Mean7.82357104
Median Absolute Deviation (MAD)55
Skewness3.637273267
Sum143719
Variance43045.288
MonotonicityNot monotonic
2023-01-04T23:39:17.493967image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
 
0.9%
-14 117
 
0.6%
-11 115
 
0.6%
-27 113
 
0.6%
-25 112
 
0.6%
-15 109
 
0.6%
-32 109
 
0.6%
-44 109
 
0.6%
-36 108
 
0.6%
-10 106
 
0.6%
Other values (1340) 17211
93.7%
ValueCountFrequency (%)
-3929 1
< 0.1%
-2943 1
< 0.1%
-2558 1
< 0.1%
-1956 1
< 0.1%
-1900 1
< 0.1%
ValueCountFrequency (%)
5938 1
< 0.1%
5734 1
< 0.1%
3467 1
< 0.1%
3370 1
< 0.1%
2951 1
< 0.1%

TS_219
Real number (ℝ)

Distinct1346
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.229395754
Minimum-4346
Maximum4970
Zeros177
Zeros (%)1.0%
Negative10085
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:39:18.474495image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4346
5-th percentile-197
Q1-61
median-10
Q354
95-th percentile268.55
Maximum4970
Range9316
Interquartile range (IQR)115

Descriptive statistics

Standard deviation200.356094
Coefficient of variation (CV)27.71408577
Kurtosis61.04389115
Mean7.229395754
Median Absolute Deviation (MAD)56
Skewness1.753353387
Sum132804
Variance40142.56439
MonotonicityNot monotonic
2023-01-04T23:39:19.310030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
 
1.0%
-36 122
 
0.7%
-29 118
 
0.6%
-27 112
 
0.6%
-9 111
 
0.6%
-25 110
 
0.6%
-28 109
 
0.6%
-37 109
 
0.6%
-26 106
 
0.6%
-19 105
 
0.6%
Other values (1336) 17191
93.6%
ValueCountFrequency (%)
-4346 1
< 0.1%
-2909 1
< 0.1%
-2099 1
< 0.1%
-1846 1
< 0.1%
-1844 1
< 0.1%
ValueCountFrequency (%)
4970 1
< 0.1%
3921 1
< 0.1%
2882 1
< 0.1%
2229 1
< 0.1%
2226 1
< 0.1%

TS_220
Real number (ℝ)

Distinct1347
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.055634186
Minimum-4092
Maximum3187
Zeros161
Zeros (%)0.9%
Negative10104
Negative (%)55.0%
Memory size143.6 KiB
2023-01-04T23:39:20.331028image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4092
5-th percentile-195
Q1-61
median-10
Q352
95-th percentile260
Maximum3187
Range7279
Interquartile range (IQR)113

Descriptive statistics

Standard deviation195.9020592
Coefficient of variation (CV)27.76533676
Kurtosis40.33185903
Mean7.055634186
Median Absolute Deviation (MAD)55
Skewness0.8964361441
Sum129612
Variance38377.61681
MonotonicityNot monotonic
2023-01-04T23:39:21.031024image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
 
0.9%
-15 117
 
0.6%
-20 116
 
0.6%
-14 115
 
0.6%
-31 109
 
0.6%
-30 106
 
0.6%
-25 105
 
0.6%
-12 105
 
0.6%
-7 105
 
0.6%
-19 103
 
0.6%
Other values (1337) 17228
93.8%
ValueCountFrequency (%)
-4092 1
< 0.1%
-3330 1
< 0.1%
-2824 1
< 0.1%
-1667 1
< 0.1%
-1586 1
< 0.1%
ValueCountFrequency (%)
3187 1
< 0.1%
2587 1
< 0.1%
2482 1
< 0.1%
2214 1
< 0.1%
2176 1
< 0.1%

TS_221
Real number (ℝ)

Distinct1336
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.358737071
Minimum-3800
Maximum2632
Zeros172
Zeros (%)0.9%
Negative10060
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:39:21.523028image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3800
5-th percentile-196
Q1-60
median-10
Q353
95-th percentile264
Maximum2632
Range6432
Interquartile range (IQR)113

Descriptive statistics

Standard deviation194.2731736
Coefficient of variation (CV)30.55216333
Kurtosis41.68732601
Mean6.358737071
Median Absolute Deviation (MAD)56
Skewness0.05964116091
Sum116810
Variance37742.06598
MonotonicityNot monotonic
2023-01-04T23:39:22.685057image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
 
0.9%
-21 123
 
0.7%
-9 109
 
0.6%
-30 108
 
0.6%
-25 108
 
0.6%
-4 106
 
0.6%
-7 106
 
0.6%
-43 105
 
0.6%
-22 104
 
0.6%
-13 104
 
0.6%
Other values (1326) 17225
93.8%
ValueCountFrequency (%)
-3800 1
< 0.1%
-3199 1
< 0.1%
-3094 1
< 0.1%
-3065 1
< 0.1%
-2633 1
< 0.1%
ValueCountFrequency (%)
2632 1
< 0.1%
2611 1
< 0.1%
2525 1
< 0.1%
2134 1
< 0.1%
1936 1
< 0.1%

TS_222
Real number (ℝ)

Distinct1359
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.254164398
Minimum-3371
Maximum2805
Zeros171
Zeros (%)0.9%
Negative10068
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:39:23.775028image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3371
5-th percentile-195.55
Q1-61
median-10
Q353
95-th percentile266
Maximum2805
Range6176
Interquartile range (IQR)114

Descriptive statistics

Standard deviation195.7537834
Coefficient of variation (CV)26.98502165
Kurtosis31.90779264
Mean7.254164398
Median Absolute Deviation (MAD)56
Skewness0.8920295693
Sum133259
Variance38319.5437
MonotonicityNot monotonic
2023-01-04T23:39:24.702031image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 171
 
0.9%
-30 118
 
0.6%
-19 117
 
0.6%
-13 109
 
0.6%
-3 107
 
0.6%
-12 106
 
0.6%
-27 105
 
0.6%
-32 105
 
0.6%
-24 105
 
0.6%
-10 103
 
0.6%
Other values (1349) 17224
93.8%
ValueCountFrequency (%)
-3371 1
< 0.1%
-3049 1
< 0.1%
-2700 1
< 0.1%
-2671 1
< 0.1%
-1795 1
< 0.1%
ValueCountFrequency (%)
2805 1
< 0.1%
2550 1
< 0.1%
2394 1
< 0.1%
1951 1
< 0.1%
1889 1
< 0.1%

TS_223
Real number (ℝ)

Distinct1343
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.61927055
Minimum-2870
Maximum3988
Zeros168
Zeros (%)0.9%
Negative10090
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:39:25.608027image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2870
5-th percentile-191.55
Q1-60
median-11
Q353
95-th percentile272
Maximum3988
Range6858
Interquartile range (IQR)113

Descriptive statistics

Standard deviation197.0991797
Coefficient of variation (CV)22.86726916
Kurtosis33.74172038
Mean8.61927055
Median Absolute Deviation (MAD)56
Skewness1.692226607
Sum158336
Variance38848.08662
MonotonicityNot monotonic
2023-01-04T23:39:26.195026image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
-20 124
 
0.7%
-22 118
 
0.6%
-21 113
 
0.6%
-30 113
 
0.6%
-19 111
 
0.6%
-23 111
 
0.6%
-28 105
 
0.6%
-37 105
 
0.6%
-17 104
 
0.6%
Other values (1333) 17198
93.6%
ValueCountFrequency (%)
-2870 1
< 0.1%
-2353 1
< 0.1%
-2285 1
< 0.1%
-2107 1
< 0.1%
-1782 1
< 0.1%
ValueCountFrequency (%)
3988 1
< 0.1%
2468 1
< 0.1%
2410 1
< 0.1%
2345 1
< 0.1%
2219 1
< 0.1%

TS_224
Real number (ℝ)

Distinct1350
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.274088187
Minimum-3057
Maximum4537
Zeros160
Zeros (%)0.9%
Negative10047
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:39:26.776025image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3057
5-th percentile-197
Q1-60
median-10
Q351
95-th percentile263
Maximum4537
Range7594
Interquartile range (IQR)111

Descriptive statistics

Standard deviation196.7925117
Coefficient of variation (CV)31.36591419
Kurtosis42.73309859
Mean6.274088187
Median Absolute Deviation (MAD)55
Skewness1.411910246
Sum115255
Variance38727.29267
MonotonicityNot monotonic
2023-01-04T23:39:27.369028image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
0.9%
-29 122
 
0.7%
-20 118
 
0.6%
-16 112
 
0.6%
-27 109
 
0.6%
-34 108
 
0.6%
-21 106
 
0.6%
-14 105
 
0.6%
-7 104
 
0.6%
-23 103
 
0.6%
Other values (1340) 17223
93.8%
ValueCountFrequency (%)
-3057 1
< 0.1%
-2577 1
< 0.1%
-2501 1
< 0.1%
-2194 1
< 0.1%
-2129 1
< 0.1%
ValueCountFrequency (%)
4537 1
< 0.1%
2362 1
< 0.1%
2263 1
< 0.1%
2155 1
< 0.1%
2128 1
< 0.1%

TS_225
Real number (ℝ)

Distinct1391
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.531137725
Minimum-4165
Maximum3783
Zeros166
Zeros (%)0.9%
Negative10128
Negative (%)55.1%
Memory size143.6 KiB
2023-01-04T23:39:28.050026image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4165
5-th percentile-200.55
Q1-61
median-11
Q353
95-th percentile273
Maximum3783
Range7948
Interquartile range (IQR)114

Descriptive statistics

Standard deviation201.3928905
Coefficient of variation (CV)26.74136337
Kurtosis41.30926926
Mean7.531137725
Median Absolute Deviation (MAD)56
Skewness0.9822870913
Sum138347
Variance40559.09634
MonotonicityNot monotonic
2023-01-04T23:39:28.514027image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
 
0.9%
-21 125
 
0.7%
-30 124
 
0.7%
-28 120
 
0.7%
-17 118
 
0.6%
-23 117
 
0.6%
-38 113
 
0.6%
-6 112
 
0.6%
-43 111
 
0.6%
-13 108
 
0.6%
Other values (1381) 17156
93.4%
ValueCountFrequency (%)
-4165 1
< 0.1%
-2867 1
< 0.1%
-2235 1
< 0.1%
-2205 1
< 0.1%
-2142 1
< 0.1%
ValueCountFrequency (%)
3783 1
< 0.1%
2648 1
< 0.1%
2645 1
< 0.1%
2372 1
< 0.1%
2355 1
< 0.1%

TS_226
Real number (ℝ)

Distinct1323
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.762493195
Minimum-3893
Maximum6560
Zeros197
Zeros (%)1.1%
Negative10107
Negative (%)55.0%
Memory size143.6 KiB
2023-01-04T23:39:29.017025image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3893
5-th percentile-192
Q1-60
median-11
Q352
95-th percentile261
Maximum6560
Range10453
Interquartile range (IQR)112

Descriptive statistics

Standard deviation203.3327126
Coefficient of variation (CV)26.19425324
Kurtosis106.1926282
Mean7.762493195
Median Absolute Deviation (MAD)55
Skewness2.998264341
Sum142597
Variance41344.192
MonotonicityNot monotonic
2023-01-04T23:39:29.410029image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 197
 
1.1%
-19 127
 
0.7%
-17 122
 
0.7%
-12 122
 
0.7%
-21 110
 
0.6%
-11 110
 
0.6%
-27 109
 
0.6%
-39 109
 
0.6%
-23 106
 
0.6%
-4 104
 
0.6%
Other values (1313) 17154
93.4%
ValueCountFrequency (%)
-3893 1
< 0.1%
-3261 1
< 0.1%
-3083 1
< 0.1%
-1993 1
< 0.1%
-1886 1
< 0.1%
ValueCountFrequency (%)
6560 1
< 0.1%
4108 1
< 0.1%
3467 1
< 0.1%
3396 1
< 0.1%
3166 1
< 0.1%

TS_227
Real number (ℝ)

Distinct1342
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.243767011
Minimum-3392
Maximum4371
Zeros174
Zeros (%)0.9%
Negative10097
Negative (%)55.0%
Memory size143.6 KiB
2023-01-04T23:39:29.818826image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3392
5-th percentile-191
Q1-60
median-10
Q353
95-th percentile267
Maximum4371
Range7763
Interquartile range (IQR)113

Descriptive statistics

Standard deviation193.9998808
Coefficient of variation (CV)23.53291651
Kurtosis43.71884642
Mean8.243767011
Median Absolute Deviation (MAD)56
Skewness1.995439625
Sum151438
Variance37635.95375
MonotonicityNot monotonic
2023-01-04T23:39:30.097824image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
0.9%
-6 117
 
0.6%
-7 116
 
0.6%
-10 114
 
0.6%
-31 113
 
0.6%
-18 107
 
0.6%
-27 107
 
0.6%
-22 106
 
0.6%
-53 105
 
0.6%
-25 104
 
0.6%
Other values (1332) 17207
93.7%
ValueCountFrequency (%)
-3392 1
< 0.1%
-1928 1
< 0.1%
-1920 1
< 0.1%
-1886 1
< 0.1%
-1855 1
< 0.1%
ValueCountFrequency (%)
4371 1
< 0.1%
3531 1
< 0.1%
2765 1
< 0.1%
2670 1
< 0.1%
1912 1
< 0.1%

TS_228
Real number (ℝ)

Distinct1322
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.418998367
Minimum-2328
Maximum3342
Zeros171
Zeros (%)0.9%
Negative10088
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:39:30.441828image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2328
5-th percentile-191
Q1-61
median-10
Q354
95-th percentile269.55
Maximum3342
Range5670
Interquartile range (IQR)115

Descriptive statistics

Standard deviation189.6796274
Coefficient of variation (CV)22.5299518
Kurtosis28.67546421
Mean8.418998367
Median Absolute Deviation (MAD)56
Skewness1.694835519
Sum154657
Variance35978.36104
MonotonicityNot monotonic
2023-01-04T23:39:30.678831image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 171
 
0.9%
-19 130
 
0.7%
-36 117
 
0.6%
-12 112
 
0.6%
-14 112
 
0.6%
4 111
 
0.6%
-6 110
 
0.6%
-25 108
 
0.6%
-24 108
 
0.6%
-20 106
 
0.6%
Other values (1312) 17185
93.5%
ValueCountFrequency (%)
-2328 1
< 0.1%
-2029 1
< 0.1%
-1943 1
< 0.1%
-1694 1
< 0.1%
-1630 1
< 0.1%
ValueCountFrequency (%)
3342 1
< 0.1%
3250 1
< 0.1%
2130 1
< 0.1%
2080 1
< 0.1%
2049 1
< 0.1%

TS_229
Real number (ℝ)

Distinct1336
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.263581927
Minimum-5301
Maximum3073
Zeros163
Zeros (%)0.9%
Negative10094
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:39:31.031825image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5301
5-th percentile-195
Q1-61
median-11
Q354
95-th percentile266.55
Maximum3073
Range8374
Interquartile range (IQR)115

Descriptive statistics

Standard deviation193.2600969
Coefficient of variation (CV)26.60672088
Kurtosis55.70674126
Mean7.263581927
Median Absolute Deviation (MAD)55
Skewness0.3691004968
Sum133432
Variance37349.46506
MonotonicityNot monotonic
2023-01-04T23:39:31.296828image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-20 119
 
0.6%
-15 114
 
0.6%
-26 114
 
0.6%
-30 113
 
0.6%
-16 110
 
0.6%
-19 108
 
0.6%
-21 107
 
0.6%
-6 107
 
0.6%
-33 103
 
0.6%
Other values (1326) 17212
93.7%
ValueCountFrequency (%)
-5301 1
< 0.1%
-2200 1
< 0.1%
-2052 1
< 0.1%
-1945 1
< 0.1%
-1943 1
< 0.1%
ValueCountFrequency (%)
3073 1
< 0.1%
2905 1
< 0.1%
2571 1
< 0.1%
2318 1
< 0.1%
2233 1
< 0.1%

TS_230
Real number (ℝ)

Distinct1335
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.592542188
Minimum-7343
Maximum2558
Zeros163
Zeros (%)0.9%
Negative10082
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:39:31.558999image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7343
5-th percentile-193
Q1-60
median-11
Q352.75
95-th percentile269
Maximum2558
Range9901
Interquartile range (IQR)112.75

Descriptive statistics

Standard deviation197.4972412
Coefficient of variation (CV)29.95767574
Kurtosis126.4952849
Mean6.592542188
Median Absolute Deviation (MAD)55
Skewness-1.960895549
Sum121105
Variance39005.16028
MonotonicityNot monotonic
2023-01-04T23:39:31.879002image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 163
 
0.9%
-23 114
 
0.6%
-31 113
 
0.6%
-20 113
 
0.6%
-27 111
 
0.6%
-30 111
 
0.6%
-39 110
 
0.6%
-32 108
 
0.6%
-29 108
 
0.6%
-18 105
 
0.6%
Other values (1325) 17214
93.7%
ValueCountFrequency (%)
-7343 1
< 0.1%
-2876 1
< 0.1%
-2320 1
< 0.1%
-2048 1
< 0.1%
-1957 1
< 0.1%
ValueCountFrequency (%)
2558 1
< 0.1%
2512 1
< 0.1%
2085 1
< 0.1%
2039 1
< 0.1%
1971 1
< 0.1%

TS_231
Real number (ℝ)

Distinct1338
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.975830158
Minimum-3578
Maximum3818
Zeros170
Zeros (%)0.9%
Negative10050
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:39:32.136329image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3578
5-th percentile-189
Q1-61
median-10
Q353
95-th percentile270
Maximum3818
Range7396
Interquartile range (IQR)114

Descriptive statistics

Standard deviation192.941511
Coefficient of variation (CV)24.19077477
Kurtosis34.17414961
Mean7.975830158
Median Absolute Deviation (MAD)56
Skewness1.03327302
Sum146516
Variance37226.42666
MonotonicityNot monotonic
2023-01-04T23:39:32.389585image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-22 123
 
0.7%
-10 116
 
0.6%
-26 114
 
0.6%
-28 111
 
0.6%
-23 109
 
0.6%
-18 108
 
0.6%
-33 107
 
0.6%
-19 104
 
0.6%
-44 104
 
0.6%
Other values (1328) 17204
93.7%
ValueCountFrequency (%)
-3578 1
< 0.1%
-2296 1
< 0.1%
-2150 1
< 0.1%
-2003 1
< 0.1%
-1952 1
< 0.1%
ValueCountFrequency (%)
3818 1
< 0.1%
2087 1
< 0.1%
2059 1
< 0.1%
2015 1
< 0.1%
1979 1
< 0.1%

TS_232
Real number (ℝ)

Distinct1352
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.017093087
Minimum-6309
Maximum3008
Zeros173
Zeros (%)0.9%
Negative10065
Negative (%)54.8%
Memory size143.6 KiB
2023-01-04T23:39:32.669884image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6309
5-th percentile-194
Q1-60
median-10
Q353
95-th percentile265
Maximum3008
Range9317
Interquartile range (IQR)113

Descriptive statistics

Standard deviation206.1496862
Coefficient of variation (CV)34.26067757
Kurtosis87.52119745
Mean6.017093087
Median Absolute Deviation (MAD)55
Skewness-1.382160562
Sum110534
Variance42497.6931
MonotonicityNot monotonic
2023-01-04T23:39:33.019890image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.9%
-29 125
 
0.7%
-25 118
 
0.6%
-33 113
 
0.6%
-27 109
 
0.6%
-4 108
 
0.6%
-34 108
 
0.6%
-19 107
 
0.6%
-35 107
 
0.6%
-43 107
 
0.6%
Other values (1342) 17195
93.6%
ValueCountFrequency (%)
-6309 1
< 0.1%
-4620 1
< 0.1%
-3012 1
< 0.1%
-2081 1
< 0.1%
-2028 1
< 0.1%
ValueCountFrequency (%)
3008 1
< 0.1%
3004 1
< 0.1%
2903 1
< 0.1%
2057 1
< 0.1%
1983 1
< 0.1%

TS_233
Real number (ℝ)

Distinct1334
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.140718563
Minimum-5987
Maximum2654
Zeros181
Zeros (%)1.0%
Negative10026
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:33.280886image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5987
5-th percentile-188
Q1-60
median-10
Q352
95-th percentile259
Maximum2654
Range8641
Interquartile range (IQR)112

Descriptive statistics

Standard deviation197.5981632
Coefficient of variation (CV)32.17834544
Kurtosis73.33896499
Mean6.140718563
Median Absolute Deviation (MAD)55
Skewness-1.274657433
Sum112805
Variance39045.03409
MonotonicityNot monotonic
2023-01-04T23:39:33.537883image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
1.0%
-22 119
 
0.6%
-20 112
 
0.6%
1 110
 
0.6%
-24 109
 
0.6%
-35 109
 
0.6%
-28 108
 
0.6%
-34 108
 
0.6%
-10 107
 
0.6%
-21 106
 
0.6%
Other values (1324) 17201
93.6%
ValueCountFrequency (%)
-5987 1
< 0.1%
-3168 1
< 0.1%
-2845 1
< 0.1%
-2687 1
< 0.1%
-2513 1
< 0.1%
ValueCountFrequency (%)
2654 1
< 0.1%
2639 1
< 0.1%
2135 1
< 0.1%
2095 1
< 0.1%
1751 1
< 0.1%

TS_234
Real number (ℝ)

Distinct1337
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.122536745
Minimum-4258
Maximum2446
Zeros173
Zeros (%)0.9%
Negative10083
Negative (%)54.9%
Memory size143.6 KiB
2023-01-04T23:39:33.794888image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4258
5-th percentile-186
Q1-59
median-10
Q353
95-th percentile259
Maximum2446
Range6704
Interquartile range (IQR)112

Descriptive statistics

Standard deviation196.1188548
Coefficient of variation (CV)27.5349727
Kurtosis38.07357288
Mean7.122536745
Median Absolute Deviation (MAD)55
Skewness-0.1643294816
Sum130841
Variance38462.60521
MonotonicityNot monotonic
2023-01-04T23:39:34.044892image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.9%
-33 116
 
0.6%
-21 116
 
0.6%
-8 110
 
0.6%
-18 109
 
0.6%
-7 109
 
0.6%
-6 108
 
0.6%
-9 108
 
0.6%
-35 108
 
0.6%
-14 108
 
0.6%
Other values (1327) 17205
93.7%
ValueCountFrequency (%)
-4258 1
< 0.1%
-3019 1
< 0.1%
-2279 2
< 0.1%
-2254 1
< 0.1%
-2227 1
< 0.1%
ValueCountFrequency (%)
2446 1
< 0.1%
2439 1
< 0.1%
2178 1
< 0.1%
2003 1
< 0.1%
1963 1
< 0.1%

TS_235
Real number (ℝ)

Distinct1342
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.02602069
Minimum-3237
Maximum5317
Zeros189
Zeros (%)1.0%
Negative10010
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:39:34.321123image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3237
5-th percentile-188
Q1-59
median-9
Q354
95-th percentile279
Maximum5317
Range8554
Interquartile range (IQR)113

Descriptive statistics

Standard deviation202.6504348
Coefficient of variation (CV)20.2124493
Kurtosis54.25400072
Mean10.02602069
Median Absolute Deviation (MAD)56
Skewness1.320034676
Sum184178
Variance41067.19873
MonotonicityNot monotonic
2023-01-04T23:39:34.586128image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 189
 
1.0%
-37 113
 
0.6%
-15 112
 
0.6%
-12 108
 
0.6%
-2 107
 
0.6%
-24 105
 
0.6%
-41 104
 
0.6%
-33 103
 
0.6%
-16 103
 
0.6%
-20 103
 
0.6%
Other values (1332) 17223
93.8%
ValueCountFrequency (%)
-3237 1
< 0.1%
-3158 1
< 0.1%
-2669 1
< 0.1%
-2413 1
< 0.1%
-2305 1
< 0.1%
ValueCountFrequency (%)
5317 1
< 0.1%
2547 1
< 0.1%
2394 1
< 0.1%
2066 1
< 0.1%
2025 1
< 0.1%

TS_236
Real number (ℝ)

Distinct1340
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.543004899
Minimum-3798
Maximum2463
Zeros170
Zeros (%)0.9%
Negative9975
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:39:34.840123image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3798
5-th percentile-186
Q1-58
median-9
Q353
95-th percentile269
Maximum2463
Range6261
Interquartile range (IQR)111

Descriptive statistics

Standard deviation193.0966519
Coefficient of variation (CV)25.59943345
Kurtosis34.434988
Mean7.543004899
Median Absolute Deviation (MAD)55
Skewness-0.03395150417
Sum138565
Variance37286.31698
MonotonicityNot monotonic
2023-01-04T23:39:35.085393image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-12 118
 
0.6%
-30 114
 
0.6%
-28 114
 
0.6%
-37 112
 
0.6%
-11 109
 
0.6%
-27 107
 
0.6%
-38 107
 
0.6%
-31 107
 
0.6%
-9 107
 
0.6%
Other values (1330) 17205
93.7%
ValueCountFrequency (%)
-3798 1
< 0.1%
-2724 1
< 0.1%
-2571 1
< 0.1%
-2469 1
< 0.1%
-2216 1
< 0.1%
ValueCountFrequency (%)
2463 1
< 0.1%
2389 1
< 0.1%
2236 1
< 0.1%
2093 1
< 0.1%
1957 1
< 0.1%

TS_237
Real number (ℝ)

Distinct1354
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.48492107
Minimum-3731
Maximum3174
Zeros179
Zeros (%)1.0%
Negative9980
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:39:35.372389image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3731
5-th percentile-186
Q1-59
median-9
Q354
95-th percentile277.55
Maximum3174
Range6905
Interquartile range (IQR)113

Descriptive statistics

Standard deviation195.7663148
Coefficient of variation (CV)18.67122447
Kurtosis34.73639072
Mean10.48492107
Median Absolute Deviation (MAD)55
Skewness0.9101050933
Sum192608
Variance38324.45001
MonotonicityNot monotonic
2023-01-04T23:39:35.621635image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-13 121
 
0.7%
-20 116
 
0.6%
-28 111
 
0.6%
-45 111
 
0.6%
-4 110
 
0.6%
-33 109
 
0.6%
-9 108
 
0.6%
-10 108
 
0.6%
-12 106
 
0.6%
Other values (1344) 17191
93.6%
ValueCountFrequency (%)
-3731 1
< 0.1%
-2945 1
< 0.1%
-2524 1
< 0.1%
-2177 1
< 0.1%
-2105 1
< 0.1%
ValueCountFrequency (%)
3174 1
< 0.1%
2839 1
< 0.1%
2131 1
< 0.1%
2089 1
< 0.1%
2079 1
< 0.1%

TS_238
Real number (ℝ)

Distinct1349
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.651497006
Minimum-2916
Maximum4822
Zeros190
Zeros (%)1.0%
Negative10054
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:39:35.977170image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2916
5-th percentile-181
Q1-59
median-10
Q353
95-th percentile266
Maximum4822
Range7738
Interquartile range (IQR)112

Descriptive statistics

Standard deviation195.9815331
Coefficient of variation (CV)20.30581712
Kurtosis43.0347555
Mean9.651497006
Median Absolute Deviation (MAD)55
Skewness1.753568196
Sum177298
Variance38408.76133
MonotonicityNot monotonic
2023-01-04T23:39:36.224185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190
 
1.0%
-39 115
 
0.6%
-23 114
 
0.6%
-18 112
 
0.6%
-21 111
 
0.6%
-36 108
 
0.6%
-27 108
 
0.6%
-26 107
 
0.6%
-5 106
 
0.6%
-28 105
 
0.6%
Other values (1339) 17194
93.6%
ValueCountFrequency (%)
-2916 1
< 0.1%
-2847 1
< 0.1%
-2180 1
< 0.1%
-1980 1
< 0.1%
-1824 1
< 0.1%
ValueCountFrequency (%)
4822 1
< 0.1%
2726 1
< 0.1%
2238 1
< 0.1%
1952 1
< 0.1%
1926 1
< 0.1%

TS_239
Real number (ℝ)

Distinct1327
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.62787153
Minimum-2152
Maximum5917
Zeros179
Zeros (%)1.0%
Negative10099
Negative (%)55.0%
Memory size143.6 KiB
2023-01-04T23:39:36.734185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2152
5-th percentile-188
Q1-60
median-10
Q353
95-th percentile256
Maximum5917
Range8069
Interquartile range (IQR)113

Descriptive statistics

Standard deviation193.845202
Coefficient of variation (CV)29.24697637
Kurtosis90.10534863
Mean6.62787153
Median Absolute Deviation (MAD)55
Skewness3.352192692
Sum121754
Variance37575.96233
MonotonicityNot monotonic
2023-01-04T23:39:37.000183image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-31 115
 
0.6%
-2 115
 
0.6%
-16 111
 
0.6%
-37 111
 
0.6%
-9 110
 
0.6%
-15 109
 
0.6%
-32 108
 
0.6%
-28 105
 
0.6%
-52 104
 
0.6%
Other values (1317) 17203
93.6%
ValueCountFrequency (%)
-2152 1
< 0.1%
-2054 1
< 0.1%
-2037 1
< 0.1%
-1789 2
< 0.1%
-1751 1
< 0.1%
ValueCountFrequency (%)
5917 1
< 0.1%
4991 1
< 0.1%
3150 1
< 0.1%
2127 1
< 0.1%
1729 1
< 0.1%

TS_240
Real number (ℝ)

Distinct1363
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.514044638
Minimum-3143
Maximum4332
Zeros170
Zeros (%)0.9%
Negative10028
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:37.289184image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3143
5-th percentile-185
Q1-59
median-10
Q354
95-th percentile268
Maximum4332
Range7475
Interquartile range (IQR)113

Descriptive statistics

Standard deviation192.6970292
Coefficient of variation (CV)20.25395471
Kurtosis34.32743069
Mean9.514044638
Median Absolute Deviation (MAD)55
Skewness1.694832333
Sum174773
Variance37132.14507
MonotonicityNot monotonic
2023-01-04T23:39:37.669190image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-23 119
 
0.6%
-38 119
 
0.6%
-19 116
 
0.6%
-15 114
 
0.6%
-29 109
 
0.6%
-31 108
 
0.6%
-30 107
 
0.6%
-1 106
 
0.6%
-43 106
 
0.6%
Other values (1353) 17196
93.6%
ValueCountFrequency (%)
-3143 1
< 0.1%
-1842 1
< 0.1%
-1715 1
< 0.1%
-1626 1
< 0.1%
-1540 1
< 0.1%
ValueCountFrequency (%)
4332 1
< 0.1%
2337 1
< 0.1%
2231 1
< 0.1%
1958 1
< 0.1%
1748 1
< 0.1%

TS_241
Real number (ℝ)

Distinct1354
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.85928144
Minimum-3302
Maximum3475
Zeros167
Zeros (%)0.9%
Negative9962
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:39:38.001190image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3302
5-th percentile-179.55
Q1-58
median-9
Q355
95-th percentile277
Maximum3475
Range6777
Interquartile range (IQR)113

Descriptive statistics

Standard deviation191.5155584
Coefficient of variation (CV)16.1490019
Kurtosis30.74819348
Mean11.85928144
Median Absolute Deviation (MAD)55
Skewness1.096154239
Sum217855
Variance36678.20912
MonotonicityNot monotonic
2023-01-04T23:39:38.303185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
0.9%
-13 119
 
0.6%
-39 117
 
0.6%
-14 114
 
0.6%
-26 112
 
0.6%
-36 109
 
0.6%
-16 108
 
0.6%
-20 106
 
0.6%
-47 106
 
0.6%
-24 106
 
0.6%
Other values (1344) 17206
93.7%
ValueCountFrequency (%)
-3302 1
< 0.1%
-3227 1
< 0.1%
-2011 1
< 0.1%
-1636 1
< 0.1%
-1558 1
< 0.1%
ValueCountFrequency (%)
3475 1
< 0.1%
1936 1
< 0.1%
1901 1
< 0.1%
1850 1
< 0.1%
1816 1
< 0.1%

TS_242
Real number (ℝ)

Distinct1340
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.290038106
Minimum-3804
Maximum2678
Zeros175
Zeros (%)1.0%
Negative9953
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:39:38.598185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3804
5-th percentile-189
Q1-60
median-9
Q354
95-th percentile270
Maximum2678
Range6482
Interquartile range (IQR)114

Descriptive statistics

Standard deviation189.9075759
Coefficient of variation (CV)20.44206641
Kurtosis28.71710983
Mean9.290038106
Median Absolute Deviation (MAD)56
Skewness0.6845277417
Sum170658
Variance36064.8874
MonotonicityNot monotonic
2023-01-04T23:39:38.887190image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
 
1.0%
-16 117
 
0.6%
-18 115
 
0.6%
-20 113
 
0.6%
-7 112
 
0.6%
-1 111
 
0.6%
-9 110
 
0.6%
-21 109
 
0.6%
15 109
 
0.6%
-24 108
 
0.6%
Other values (1330) 17191
93.6%
ValueCountFrequency (%)
-3804 1
< 0.1%
-2397 1
< 0.1%
-2263 1
< 0.1%
-2146 1
< 0.1%
-1621 1
< 0.1%
ValueCountFrequency (%)
2678 1
< 0.1%
2261 1
< 0.1%
1883 1
< 0.1%
1806 1
< 0.1%
1782 1
< 0.1%

TS_243
Real number (ℝ)

Distinct1342
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.008927599
Minimum-4094
Maximum3377
Zeros180
Zeros (%)1.0%
Negative9896
Negative (%)53.9%
Memory size143.6 KiB
2023-01-04T23:39:39.171055image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4094
5-th percentile-192.55
Q1-59
median-8
Q354
95-th percentile274
Maximum3377
Range7471
Interquartile range (IQR)113

Descriptive statistics

Standard deviation193.9776208
Coefficient of variation (CV)21.53171048
Kurtosis37.87914423
Mean9.008927599
Median Absolute Deviation (MAD)56
Skewness1.005779571
Sum165494
Variance37627.31736
MonotonicityNot monotonic
2023-01-04T23:39:39.625053image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
1.0%
-31 122
 
0.7%
-26 112
 
0.6%
-34 110
 
0.6%
-40 109
 
0.6%
-20 108
 
0.6%
-29 107
 
0.6%
-36 106
 
0.6%
-28 104
 
0.6%
-5 103
 
0.6%
Other values (1332) 17209
93.7%
ValueCountFrequency (%)
-4094 1
< 0.1%
-2288 1
< 0.1%
-2154 1
< 0.1%
-2128 1
< 0.1%
-1700 1
< 0.1%
ValueCountFrequency (%)
3377 1
< 0.1%
3243 1
< 0.1%
2005 1
< 0.1%
1970 1
< 0.1%
1945 1
< 0.1%

TS_244
Real number (ℝ)

Distinct1339
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.281219379
Minimum-4279
Maximum3287
Zeros181
Zeros (%)1.0%
Negative9967
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:39:39.983053image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4279
5-th percentile-190
Q1-58
median-9
Q355
95-th percentile274
Maximum3287
Range7566
Interquartile range (IQR)113

Descriptive statistics

Standard deviation198.0572244
Coefficient of variation (CV)21.33956932
Kurtosis50.23958519
Mean9.281219379
Median Absolute Deviation (MAD)55
Skewness0.1189836378
Sum170496
Variance39226.66412
MonotonicityNot monotonic
2023-01-04T23:39:40.723048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
1.0%
-24 116
 
0.6%
-4 114
 
0.6%
-10 113
 
0.6%
-35 111
 
0.6%
-11 109
 
0.6%
-1 109
 
0.6%
-18 108
 
0.6%
-47 107
 
0.6%
-23 107
 
0.6%
Other values (1329) 17195
93.6%
ValueCountFrequency (%)
-4279 1
< 0.1%
-3596 1
< 0.1%
-3552 1
< 0.1%
-3069 1
< 0.1%
-2409 1
< 0.1%
ValueCountFrequency (%)
3287 1
< 0.1%
2687 1
< 0.1%
2582 1
< 0.1%
2231 1
< 0.1%
2006 1
< 0.1%

TS_245
Real number (ℝ)

Distinct1382
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.25318454
Minimum-4070
Maximum3142
Zeros177
Zeros (%)1.0%
Negative9990
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:39:41.254048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4070
5-th percentile-196
Q1-59
median-9
Q354
95-th percentile279
Maximum3142
Range7212
Interquartile range (IQR)113

Descriptive statistics

Standard deviation200.0549088
Coefficient of variation (CV)21.62011445
Kurtosis36.16590537
Mean9.25318454
Median Absolute Deviation (MAD)56
Skewness0.6886301944
Sum169981
Variance40021.96654
MonotonicityNot monotonic
2023-01-04T23:39:41.540052image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
 
1.0%
-16 119
 
0.6%
-17 118
 
0.6%
-29 109
 
0.6%
-32 108
 
0.6%
-30 108
 
0.6%
-25 108
 
0.6%
-31 106
 
0.6%
-21 104
 
0.6%
-10 104
 
0.6%
Other values (1372) 17209
93.7%
ValueCountFrequency (%)
-4070 1
< 0.1%
-2807 1
< 0.1%
-2751 1
< 0.1%
-2470 1
< 0.1%
-2209 1
< 0.1%
ValueCountFrequency (%)
3142 1
< 0.1%
3076 1
< 0.1%
2200 1
< 0.1%
2012 1
< 0.1%
1931 1
< 0.1%

TS_246
Real number (ℝ)

Distinct1343
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.098312466
Minimum-2922
Maximum3023
Zeros168
Zeros (%)0.9%
Negative9941
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:39:41.928051image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2922
5-th percentile-196
Q1-59
median-9
Q354
95-th percentile263
Maximum3023
Range5945
Interquartile range (IQR)113

Descriptive statistics

Standard deviation194.2190166
Coefficient of variation (CV)23.98265286
Kurtosis30.14443445
Mean8.098312466
Median Absolute Deviation (MAD)56
Skewness1.266076593
Sum148766
Variance37721.02643
MonotonicityNot monotonic
2023-01-04T23:39:42.486051image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
-26 112
 
0.6%
-21 112
 
0.6%
-19 107
 
0.6%
-34 107
 
0.6%
-7 106
 
0.6%
-41 105
 
0.6%
-23 104
 
0.6%
-30 104
 
0.6%
-14 104
 
0.6%
Other values (1333) 17241
93.9%
ValueCountFrequency (%)
-2922 1
< 0.1%
-2835 1
< 0.1%
-2098 1
< 0.1%
-1885 1
< 0.1%
-1848 1
< 0.1%
ValueCountFrequency (%)
3023 1
< 0.1%
3003 1
< 0.1%
2355 1
< 0.1%
2232 1
< 0.1%
2139 1
< 0.1%

TS_247
Real number (ℝ)

Distinct1333
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.48312466
Minimum-3928
Maximum3257
Zeros167
Zeros (%)0.9%
Negative10029
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:43.265051image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3928
5-th percentile-199
Q1-60
median-10
Q352
95-th percentile261
Maximum3257
Range7185
Interquartile range (IQR)112

Descriptive statistics

Standard deviation196.6124977
Coefficient of variation (CV)30.32681122
Kurtosis43.12272447
Mean6.48312466
Median Absolute Deviation (MAD)55
Skewness0.7215997301
Sum119095
Variance38656.47424
MonotonicityNot monotonic
2023-01-04T23:39:43.615050image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
0.9%
-28 123
 
0.7%
-11 118
 
0.6%
-17 110
 
0.6%
-16 104
 
0.6%
-40 104
 
0.6%
-27 103
 
0.6%
-21 103
 
0.6%
-37 102
 
0.6%
-6 100
 
0.5%
Other values (1323) 17236
93.8%
ValueCountFrequency (%)
-3928 1
< 0.1%
-3350 1
< 0.1%
-3187 1
< 0.1%
-2650 1
< 0.1%
-1813 1
< 0.1%
ValueCountFrequency (%)
3257 1
< 0.1%
2921 1
< 0.1%
2353 1
< 0.1%
2349 1
< 0.1%
2194 1
< 0.1%

TS_248
Real number (ℝ)

Distinct1365
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.252367991
Minimum-6121
Maximum2882
Zeros178
Zeros (%)1.0%
Negative10026
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:44.057050image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6121
5-th percentile-200
Q1-61
median-10
Q353
95-th percentile264
Maximum2882
Range9003
Interquartile range (IQR)114

Descriptive statistics

Standard deviation203.1661002
Coefficient of variation (CV)32.49426465
Kurtosis77.89534883
Mean6.252367991
Median Absolute Deviation (MAD)56
Skewness-0.5015358646
Sum114856
Variance41276.46426
MonotonicityNot monotonic
2023-01-04T23:39:44.346053image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
1.0%
-28 115
 
0.6%
-32 113
 
0.6%
-29 112
 
0.6%
-13 112
 
0.6%
-30 111
 
0.6%
-9 110
 
0.6%
-15 110
 
0.6%
-10 110
 
0.6%
-24 109
 
0.6%
Other values (1355) 17190
93.6%
ValueCountFrequency (%)
-6121 1
< 0.1%
-3380 1
< 0.1%
-3277 1
< 0.1%
-2184 1
< 0.1%
-2040 1
< 0.1%
ValueCountFrequency (%)
2882 1
< 0.1%
2845 1
< 0.1%
2828 1
< 0.1%
2687 1
< 0.1%
2554 1
< 0.1%

TS_249
Real number (ℝ)

Distinct1331
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.411812738
Minimum-4536
Maximum4609
Zeros178
Zeros (%)1.0%
Negative9920
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:39:44.831052image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4536
5-th percentile-192
Q1-59
median-9
Q354
95-th percentile268
Maximum4609
Range9145
Interquartile range (IQR)113

Descriptive statistics

Standard deviation205.0284012
Coefficient of variation (CV)24.37386656
Kurtosis68.67845069
Mean8.411812738
Median Absolute Deviation (MAD)56
Skewness0.151398307
Sum154525
Variance42036.64531
MonotonicityNot monotonic
2023-01-04T23:39:45.174049image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
1.0%
-4 111
 
0.6%
-32 108
 
0.6%
-27 107
 
0.6%
-29 106
 
0.6%
-15 105
 
0.6%
-13 105
 
0.6%
-19 105
 
0.6%
-26 104
 
0.6%
-17 102
 
0.6%
Other values (1321) 17239
93.8%
ValueCountFrequency (%)
-4536 1
< 0.1%
-4312 1
< 0.1%
-3317 1
< 0.1%
-2991 1
< 0.1%
-2980 1
< 0.1%
ValueCountFrequency (%)
4609 1
< 0.1%
2901 1
< 0.1%
2747 1
< 0.1%
2611 1
< 0.1%
2462 1
< 0.1%

TS_250
Real number (ℝ)

Distinct1362
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.573489385
Minimum-4026
Maximum3860
Zeros174
Zeros (%)0.9%
Negative10052
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:39:45.471048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4026
5-th percentile-196
Q1-60
median-10
Q353
95-th percentile267
Maximum3860
Range7886
Interquartile range (IQR)113

Descriptive statistics

Standard deviation205.6235048
Coefficient of variation (CV)27.1504315
Kurtosis49.62238959
Mean7.573489385
Median Absolute Deviation (MAD)56
Skewness0.7712653044
Sum139125
Variance42281.02571
MonotonicityNot monotonic
2023-01-04T23:39:45.732048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
0.9%
-15 114
 
0.6%
-6 111
 
0.6%
-13 111
 
0.6%
-30 110
 
0.6%
-40 107
 
0.6%
-35 105
 
0.6%
-4 105
 
0.6%
-21 105
 
0.6%
-18 105
 
0.6%
Other values (1352) 17223
93.8%
ValueCountFrequency (%)
-4026 1
< 0.1%
-3695 1
< 0.1%
-3212 1
< 0.1%
-2689 1
< 0.1%
-2515 1
< 0.1%
ValueCountFrequency (%)
3860 1
< 0.1%
3067 1
< 0.1%
2678 1
< 0.1%
2517 1
< 0.1%
2378 1
< 0.1%

TS_251
Real number (ℝ)

Distinct1330
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.355743059
Minimum-3492
Maximum3106
Zeros185
Zeros (%)1.0%
Negative10016
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:39:46.006047image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3492
5-th percentile-192
Q1-60
median-9
Q355
95-th percentile265
Maximum3106
Range6598
Interquartile range (IQR)115

Descriptive statistics

Standard deviation198.5760228
Coefficient of variation (CV)26.99605209
Kurtosis40.68771832
Mean7.355743059
Median Absolute Deviation (MAD)56
Skewness0.3695731427
Sum135125
Variance39432.43683
MonotonicityNot monotonic
2023-01-04T23:39:46.273044image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 185
 
1.0%
-25 115
 
0.6%
-11 112
 
0.6%
-40 111
 
0.6%
-23 110
 
0.6%
-9 109
 
0.6%
-19 105
 
0.6%
-8 105
 
0.6%
-13 104
 
0.6%
-29 104
 
0.6%
Other values (1320) 17210
93.7%
ValueCountFrequency (%)
-3492 1
< 0.1%
-3370 1
< 0.1%
-3297 1
< 0.1%
-2833 1
< 0.1%
-2337 1
< 0.1%
ValueCountFrequency (%)
3106 1
< 0.1%
2611 1
< 0.1%
2512 1
< 0.1%
2370 1
< 0.1%
2249 1
< 0.1%

TS_252
Real number (ℝ)

Distinct1374
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.196570495
Minimum-3302
Maximum3326
Zeros158
Zeros (%)0.9%
Negative10026
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:46.620047image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3302
5-th percentile-196.55
Q1-59
median-9
Q355
95-th percentile274
Maximum3326
Range6628
Interquartile range (IQR)114

Descriptive statistics

Standard deviation201.9724963
Coefficient of variation (CV)24.64109794
Kurtosis36.74920694
Mean8.196570495
Median Absolute Deviation (MAD)56
Skewness0.4958856563
Sum150571
Variance40792.88928
MonotonicityNot monotonic
2023-01-04T23:39:47.020047image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
0.9%
-8 117
 
0.6%
-25 113
 
0.6%
-3 113
 
0.6%
-29 111
 
0.6%
-23 110
 
0.6%
-22 107
 
0.6%
-28 105
 
0.6%
-37 105
 
0.6%
-27 105
 
0.6%
Other values (1364) 17226
93.8%
ValueCountFrequency (%)
-3302 1
< 0.1%
-3281 1
< 0.1%
-3217 1
< 0.1%
-2670 1
< 0.1%
-2582 1
< 0.1%
ValueCountFrequency (%)
3326 1
< 0.1%
2558 1
< 0.1%
2314 1
< 0.1%
2153 1
< 0.1%
2141 1
< 0.1%

TS_253
Real number (ℝ)

Distinct1340
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.551388133
Minimum-3185
Maximum6192
Zeros168
Zeros (%)0.9%
Negative10032
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:47.382048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3185
5-th percentile-197
Q1-59
median-9
Q353
95-th percentile267
Maximum6192
Range9377
Interquartile range (IQR)112

Descriptive statistics

Standard deviation200.1302883
Coefficient of variation (CV)26.50245025
Kurtosis80.48742042
Mean7.551388133
Median Absolute Deviation (MAD)55
Skewness2.314190588
Sum138719
Variance40052.13229
MonotonicityNot monotonic
2023-01-04T23:39:47.718050image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
 
0.9%
-35 117
 
0.6%
-20 116
 
0.6%
-25 111
 
0.6%
-30 111
 
0.6%
-19 110
 
0.6%
-27 110
 
0.6%
-9 108
 
0.6%
-26 108
 
0.6%
-23 107
 
0.6%
Other values (1330) 17204
93.7%
ValueCountFrequency (%)
-3185 1
< 0.1%
-2827 1
< 0.1%
-2433 1
< 0.1%
-2416 1
< 0.1%
-2295 1
< 0.1%
ValueCountFrequency (%)
6192 1
< 0.1%
3245 1
< 0.1%
2656 1
< 0.1%
2556 1
< 0.1%
2384 1
< 0.1%

TS_254
Real number (ℝ)

Distinct1329
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.413935765
Minimum-3102
Maximum3063
Zeros181
Zeros (%)1.0%
Negative10053
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:39:48.098048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3102
5-th percentile-198
Q1-60
median-10
Q351.75
95-th percentile259.55
Maximum3063
Range6165
Interquartile range (IQR)111.75

Descriptive statistics

Standard deviation193.9115673
Coefficient of variation (CV)30.23285146
Kurtosis36.30950287
Mean6.413935765
Median Absolute Deviation (MAD)55
Skewness1.375511411
Sum117824
Variance37601.69592
MonotonicityNot monotonic
2023-01-04T23:39:48.475087image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
1.0%
-29 119
 
0.6%
-34 113
 
0.6%
-9 112
 
0.6%
-27 110
 
0.6%
-6 110
 
0.6%
-32 108
 
0.6%
-19 108
 
0.6%
-14 108
 
0.6%
-10 106
 
0.6%
Other values (1319) 17195
93.6%
ValueCountFrequency (%)
-3102 1
< 0.1%
-2612 1
< 0.1%
-2524 1
< 0.1%
-2253 1
< 0.1%
-2028 1
< 0.1%
ValueCountFrequency (%)
3063 1
< 0.1%
2981 1
< 0.1%
2572 1
< 0.1%
2570 1
< 0.1%
2445 1
< 0.1%

TS_255
Real number (ℝ)

Distinct1352
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.354218835
Minimum-2896
Maximum4438
Zeros194
Zeros (%)1.1%
Negative10042
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:39:48.784050image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2896
5-th percentile-195
Q1-59
median-10
Q352
95-th percentile257
Maximum4438
Range7334
Interquartile range (IQR)111

Descriptive statistics

Standard deviation200.4322489
Coefficient of variation (CV)31.54317692
Kurtosis53.68216661
Mean6.354218835
Median Absolute Deviation (MAD)55
Skewness2.124439362
Sum116727
Variance40173.0864
MonotonicityNot monotonic
2023-01-04T23:39:49.067046image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 194
 
1.1%
-29 120
 
0.7%
-26 117
 
0.6%
-30 112
 
0.6%
-11 111
 
0.6%
-16 111
 
0.6%
-27 110
 
0.6%
-21 106
 
0.6%
-47 106
 
0.6%
-31 106
 
0.6%
Other values (1342) 17177
93.5%
ValueCountFrequency (%)
-2896 1
< 0.1%
-2788 1
< 0.1%
-2480 1
< 0.1%
-2304 1
< 0.1%
-2276 1
< 0.1%
ValueCountFrequency (%)
4438 1
< 0.1%
3842 1
< 0.1%
3622 1
< 0.1%
2791 1
< 0.1%
2569 1
< 0.1%

TS_256
Real number (ℝ)

Distinct1355
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.12803484
Minimum-2892
Maximum4863
Zeros195
Zeros (%)1.1%
Negative9952
Negative (%)54.2%
Memory size143.6 KiB
2023-01-04T23:39:49.332252image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2892
5-th percentile-189
Q1-58
median-8
Q353
95-th percentile265.55
Maximum4863
Range7755
Interquartile range (IQR)111

Descriptive statistics

Standard deviation203.7443787
Coefficient of variation (CV)20.11687182
Kurtosis49.16633499
Mean10.12803484
Median Absolute Deviation (MAD)55
Skewness2.241328547
Sum186052
Variance41511.77184
MonotonicityNot monotonic
2023-01-04T23:39:49.581804image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 195
 
1.1%
-11 111
 
0.6%
-34 111
 
0.6%
-36 109
 
0.6%
-8 108
 
0.6%
-27 108
 
0.6%
-15 108
 
0.6%
-39 105
 
0.6%
-31 103
 
0.6%
-23 102
 
0.6%
Other values (1345) 17210
93.7%
ValueCountFrequency (%)
-2892 1
< 0.1%
-2376 1
< 0.1%
-2204 1
< 0.1%
-2161 1
< 0.1%
-2141 1
< 0.1%
ValueCountFrequency (%)
4863 1
< 0.1%
3443 1
< 0.1%
2825 1
< 0.1%
2785 1
< 0.1%
2542 1
< 0.1%

TS_257
Real number (ℝ)

Distinct1380
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.944202504
Minimum-3175
Maximum4090
Zeros146
Zeros (%)0.8%
Negative9983
Negative (%)54.3%
Memory size143.6 KiB
2023-01-04T23:39:49.939806image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3175
5-th percentile-192.55
Q1-59
median-10
Q355
95-th percentile275
Maximum4090
Range7265
Interquartile range (IQR)114

Descriptive statistics

Standard deviation206.1361749
Coefficient of variation (CV)20.72928169
Kurtosis49.07685447
Mean9.944202504
Median Absolute Deviation (MAD)55
Skewness2.079826625
Sum182675
Variance42492.12259
MonotonicityNot monotonic
2023-01-04T23:39:50.204844image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146
 
0.8%
-21 117
 
0.6%
-14 114
 
0.6%
-22 113
 
0.6%
-28 113
 
0.6%
-35 110
 
0.6%
-15 106
 
0.6%
-24 105
 
0.6%
-19 103
 
0.6%
7 102
 
0.6%
Other values (1370) 17241
93.9%
ValueCountFrequency (%)
-3175 1
< 0.1%
-3167 1
< 0.1%
-2704 1
< 0.1%
-2404 1
< 0.1%
-2395 1
< 0.1%
ValueCountFrequency (%)
4090 1
< 0.1%
4066 1
< 0.1%
3516 1
< 0.1%
2757 1
< 0.1%
2729 1
< 0.1%

TS_258
Real number (ℝ)

Distinct1343
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.992705498
Minimum-4463
Maximum4031
Zeros202
Zeros (%)1.1%
Negative9927
Negative (%)54.0%
Memory size143.6 KiB
2023-01-04T23:39:50.481844image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4463
5-th percentile-187
Q1-58
median-9
Q355
95-th percentile263.55
Maximum4031
Range8494
Interquartile range (IQR)113

Descriptive statistics

Standard deviation205.1976005
Coefficient of variation (CV)20.53473912
Kurtosis63.23461058
Mean9.992705498
Median Absolute Deviation (MAD)55
Skewness0.3998719749
Sum183566
Variance42106.05526
MonotonicityNot monotonic
2023-01-04T23:39:50.760837image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 202
 
1.1%
-39 125
 
0.7%
-33 113
 
0.6%
-23 110
 
0.6%
-42 108
 
0.6%
-28 108
 
0.6%
-26 107
 
0.6%
-29 107
 
0.6%
-8 106
 
0.6%
-14 105
 
0.6%
Other values (1333) 17179
93.5%
ValueCountFrequency (%)
-4463 1
< 0.1%
-4454 1
< 0.1%
-3272 1
< 0.1%
-2912 1
< 0.1%
-2728 1
< 0.1%
ValueCountFrequency (%)
4031 1
< 0.1%
3196 1
< 0.1%
2879 1
< 0.1%
2618 1
< 0.1%
2166 1
< 0.1%

TS_259
Real number (ℝ)

Distinct1365
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.34850299
Minimum-4556
Maximum3548
Zeros173
Zeros (%)0.9%
Negative9996
Negative (%)54.4%
Memory size143.6 KiB
2023-01-04T23:39:51.020841image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4556
5-th percentile-188
Q1-59
median-9
Q356
95-th percentile272
Maximum3548
Range8104
Interquartile range (IQR)115

Descriptive statistics

Standard deviation208.9533375
Coefficient of variation (CV)18.41241418
Kurtosis53.27948453
Mean11.34850299
Median Absolute Deviation (MAD)56
Skewness0.7701329898
Sum208472
Variance43661.49724
MonotonicityNot monotonic
2023-01-04T23:39:51.302840image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.9%
-30 118
 
0.6%
-12 116
 
0.6%
-18 113
 
0.6%
-42 109
 
0.6%
-15 106
 
0.6%
-24 106
 
0.6%
-26 105
 
0.6%
-29 105
 
0.6%
-9 105
 
0.6%
Other values (1355) 17214
93.7%
ValueCountFrequency (%)
-4556 1
< 0.1%
-3946 1
< 0.1%
-3152 1
< 0.1%
-2996 1
< 0.1%
-2149 1
< 0.1%
ValueCountFrequency (%)
3548 1
< 0.1%
3058 1
< 0.1%
2874 1
< 0.1%
2809 1
< 0.1%
2711 1
< 0.1%

TS_260
Real number (ℝ)

Distinct1350
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.016222101
Minimum-3479
Maximum3109
Zeros172
Zeros (%)0.9%
Negative10015
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:39:51.682844image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3479
5-th percentile-188
Q1-60
median-9
Q353
95-th percentile259
Maximum3109
Range6588
Interquartile range (IQR)113

Descriptive statistics

Standard deviation198.5377134
Coefficient of variation (CV)28.29695391
Kurtosis38.92675139
Mean7.016222101
Median Absolute Deviation (MAD)55
Skewness0.4790595459
Sum128888
Variance39417.22365
MonotonicityNot monotonic
2023-01-04T23:39:51.953840image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
 
0.9%
-28 114
 
0.6%
-11 109
 
0.6%
-25 108
 
0.6%
-7 107
 
0.6%
-20 105
 
0.6%
-26 104
 
0.6%
-37 104
 
0.6%
-13 103
 
0.6%
-10 101
 
0.5%
Other values (1340) 17243
93.9%
ValueCountFrequency (%)
-3479 1
< 0.1%
-2897 1
< 0.1%
-2767 1
< 0.1%
-2569 1
< 0.1%
-2432 1
< 0.1%
ValueCountFrequency (%)
3109 1
< 0.1%
2939 1
< 0.1%
2458 1
< 0.1%
2323 1
< 0.1%
2137 1
< 0.1%

TS_261
Real number (ℝ)

Distinct1319
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.752041372
Minimum-2398
Maximum4482
Zeros178
Zeros (%)1.0%
Negative10014
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:39:52.241878image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2398
5-th percentile-182
Q1-59
median-10
Q352
95-th percentile260
Maximum4482
Range6880
Interquartile range (IQR)111

Descriptive statistics

Standard deviation192.9264464
Coefficient of variation (CV)22.04359397
Kurtosis42.58490942
Mean8.752041372
Median Absolute Deviation (MAD)55
Skewness1.930347246
Sum160775
Variance37220.61373
MonotonicityNot monotonic
2023-01-04T23:39:52.533839image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
1.0%
-13 122
 
0.7%
-27 117
 
0.6%
-28 115
 
0.6%
-12 114
 
0.6%
-10 110
 
0.6%
-26 109
 
0.6%
-35 106
 
0.6%
-45 105
 
0.6%
-23 104
 
0.6%
Other values (1309) 17190
93.6%
ValueCountFrequency (%)
-2398 1
< 0.1%
-2318 1
< 0.1%
-2070 1
< 0.1%
-1980 1
< 0.1%
-1944 1
< 0.1%
ValueCountFrequency (%)
4482 1
< 0.1%
2998 1
< 0.1%
2510 1
< 0.1%
2406 1
< 0.1%
2271 1
< 0.1%

TS_262
Real number (ℝ)

Distinct1341
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.11034295
Minimum-2790
Maximum5790
Zeros179
Zeros (%)1.0%
Negative10032
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:52.813847image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2790
5-th percentile-184
Q1-59
median-10
Q352
95-th percentile260
Maximum5790
Range8580
Interquartile range (IQR)111

Descriptive statistics

Standard deviation197.2621107
Coefficient of variation (CV)24.32228969
Kurtosis68.76349046
Mean8.11034295
Median Absolute Deviation (MAD)55
Skewness2.313597289
Sum148987
Variance38912.34032
MonotonicityNot monotonic
2023-01-04T23:39:53.082843image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
1.0%
-34 111
 
0.6%
-23 110
 
0.6%
-17 108
 
0.6%
-14 108
 
0.6%
-21 108
 
0.6%
-19 107
 
0.6%
-47 104
 
0.6%
-24 103
 
0.6%
-30 103
 
0.6%
Other values (1331) 17229
93.8%
ValueCountFrequency (%)
-2790 1
< 0.1%
-2759 1
< 0.1%
-2477 1
< 0.1%
-2436 1
< 0.1%
-2343 1
< 0.1%
ValueCountFrequency (%)
5790 1
< 0.1%
2898 1
< 0.1%
2463 1
< 0.1%
2386 1
< 0.1%
2178 1
< 0.1%

TS_263
Real number (ℝ)

Distinct1347
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.02705498
Minimum-3484
Maximum5405
Zeros192
Zeros (%)1.0%
Negative9939
Negative (%)54.1%
Memory size143.6 KiB
2023-01-04T23:39:53.339843image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3484
5-th percentile-186
Q1-59
median-9
Q353
95-th percentile276.55
Maximum5405
Range8889
Interquartile range (IQR)112

Descriptive statistics

Standard deviation199.2599747
Coefficient of variation (CV)19.87223318
Kurtosis60.26926958
Mean10.02705498
Median Absolute Deviation (MAD)55.5
Skewness1.946553015
Sum184197
Variance39704.53751
MonotonicityNot monotonic
2023-01-04T23:39:53.612840image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 192
 
1.0%
-16 119
 
0.6%
-31 111
 
0.6%
-32 110
 
0.6%
-30 109
 
0.6%
-26 106
 
0.6%
-40 106
 
0.6%
-23 104
 
0.6%
-37 104
 
0.6%
-7 104
 
0.6%
Other values (1337) 17205
93.7%
ValueCountFrequency (%)
-3484 1
< 0.1%
-2649 1
< 0.1%
-2637 1
< 0.1%
-2401 1
< 0.1%
-2364 1
< 0.1%
ValueCountFrequency (%)
5405 1
< 0.1%
2754 1
< 0.1%
2608 1
< 0.1%
2485 1
< 0.1%
2346 1
< 0.1%

TS_264
Real number (ℝ)

Distinct1319
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.581382689
Minimum-3402
Maximum4082
Zeros164
Zeros (%)0.9%
Negative10055
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:39:53.870464image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3402
5-th percentile-189.55
Q1-60
median-10
Q353
95-th percentile264
Maximum4082
Range7484
Interquartile range (IQR)113

Descriptive statistics

Standard deviation196.7175608
Coefficient of variation (CV)25.94745165
Kurtosis46.10719213
Mean7.581382689
Median Absolute Deviation (MAD)55
Skewness1.241340849
Sum139270
Variance38697.79873
MonotonicityNot monotonic
2023-01-04T23:39:54.140466image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
0.9%
-27 123
 
0.7%
-21 119
 
0.6%
-25 119
 
0.6%
-15 117
 
0.6%
-31 114
 
0.6%
-11 110
 
0.6%
-23 110
 
0.6%
-35 106
 
0.6%
-22 105
 
0.6%
Other values (1309) 17183
93.5%
ValueCountFrequency (%)
-3402 1
< 0.1%
-2938 1
< 0.1%
-2827 1
< 0.1%
-2556 1
< 0.1%
-2461 1
< 0.1%
ValueCountFrequency (%)
4082 1
< 0.1%
3206 1
< 0.1%
2730 1
< 0.1%
2352 1
< 0.1%
2124 1
< 0.1%

TS_265
Real number (ℝ)

Distinct1343
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.465704954
Minimum-3597
Maximum4027
Zeros182
Zeros (%)1.0%
Negative10036
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:54.556462image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3597
5-th percentile-191
Q1-60
median-10
Q352
95-th percentile264
Maximum4027
Range7624
Interquartile range (IQR)112

Descriptive statistics

Standard deviation199.346913
Coefficient of variation (CV)26.70168648
Kurtosis53.49807781
Mean7.465704954
Median Absolute Deviation (MAD)55
Skewness0.9634756524
Sum137145
Variance39739.19173
MonotonicityNot monotonic
2023-01-04T23:39:54.997458image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 182
 
1.0%
-37 115
 
0.6%
-22 113
 
0.6%
-19 112
 
0.6%
-17 109
 
0.6%
-21 109
 
0.6%
-23 108
 
0.6%
-16 107
 
0.6%
-35 107
 
0.6%
-28 106
 
0.6%
Other values (1333) 17202
93.6%
ValueCountFrequency (%)
-3597 1
< 0.1%
-3587 1
< 0.1%
-3141 1
< 0.1%
-2796 1
< 0.1%
-2789 1
< 0.1%
ValueCountFrequency (%)
4027 1
< 0.1%
3315 1
< 0.1%
3301 1
< 0.1%
2814 1
< 0.1%
2665 1
< 0.1%

TS_266
Real number (ℝ)

Distinct1335
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.962928688
Minimum-3756
Maximum4170
Zeros170
Zeros (%)0.9%
Negative10035
Negative (%)54.6%
Memory size143.6 KiB
2023-01-04T23:39:55.282503image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3756
5-th percentile-186
Q1-59
median-10
Q355
95-th percentile275
Maximum4170
Range7926
Interquartile range (IQR)114

Descriptive statistics

Standard deviation199.3769297
Coefficient of variation (CV)20.01187963
Kurtosis52.54221942
Mean9.962928688
Median Absolute Deviation (MAD)55
Skewness1.503769883
Sum183019
Variance39751.16009
MonotonicityNot monotonic
2023-01-04T23:39:55.560460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
0.9%
-23 113
 
0.6%
-32 112
 
0.6%
-18 111
 
0.6%
-36 110
 
0.6%
-12 110
 
0.6%
-8 110
 
0.6%
-47 109
 
0.6%
-28 107
 
0.6%
-9 106
 
0.6%
Other values (1325) 17212
93.7%
ValueCountFrequency (%)
-3756 1
< 0.1%
-2959 1
< 0.1%
-2880 1
< 0.1%
-2661 1
< 0.1%
-2170 1
< 0.1%
ValueCountFrequency (%)
4170 1
< 0.1%
3842 1
< 0.1%
3036 1
< 0.1%
2838 1
< 0.1%
2589 1
< 0.1%

TS_267
Real number (ℝ)

Distinct1347
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.961132281
Minimum-3384
Maximum3503
Zeros181
Zeros (%)1.0%
Negative10010
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:39:55.824460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3384
5-th percentile-189.55
Q1-59
median-10
Q355
95-th percentile275
Maximum3503
Range6887
Interquartile range (IQR)114

Descriptive statistics

Standard deviation197.7701499
Coefficient of variation (CV)19.85418367
Kurtosis41.86386929
Mean9.961132281
Median Absolute Deviation (MAD)56
Skewness1.424786654
Sum182986
Variance39113.03219
MonotonicityNot monotonic
2023-01-04T23:39:56.079290image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
1.0%
-19 118
 
0.6%
-11 116
 
0.6%
-24 110
 
0.6%
-28 109
 
0.6%
-1 109
 
0.6%
-37 108
 
0.6%
-21 108
 
0.6%
-25 106
 
0.6%
-8 106
 
0.6%
Other values (1337) 17199
93.6%
ValueCountFrequency (%)
-3384 1
< 0.1%
-3360 1
< 0.1%
-2542 1
< 0.1%
-1870 1
< 0.1%
-1844 1
< 0.1%
ValueCountFrequency (%)
3503 1
< 0.1%
3303 1
< 0.1%
3229 1
< 0.1%
2863 1
< 0.1%
2439 1
< 0.1%

TS_268
Real number (ℝ)

Distinct1332
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.139575395
Minimum-3154
Maximum3908
Zeros180
Zeros (%)1.0%
Negative10017
Negative (%)54.5%
Memory size143.6 KiB
2023-01-04T23:39:56.361324image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3154
5-th percentile-185.55
Q1-59
median-9
Q353
95-th percentile259.55
Maximum3908
Range7062
Interquartile range (IQR)112

Descriptive statistics

Standard deviation197.604523
Coefficient of variation (CV)24.27700628
Kurtosis44.57004693
Mean8.139575395
Median Absolute Deviation (MAD)55
Skewness1.284318682
Sum149524
Variance39047.54751
MonotonicityNot monotonic
2023-01-04T23:39:56.605958image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
1.0%
-27 126
 
0.7%
-21 118
 
0.6%
-23 116
 
0.6%
-8 111
 
0.6%
-15 108
 
0.6%
-5 106
 
0.6%
-17 106
 
0.6%
-12 106
 
0.6%
-39 105
 
0.6%
Other values (1322) 17188
93.6%
ValueCountFrequency (%)
-3154 1
< 0.1%
-2955 1
< 0.1%
-2805 1
< 0.1%
-2330 1
< 0.1%
-2216 1
< 0.1%
ValueCountFrequency (%)
3908 1
< 0.1%
3313 1
< 0.1%
2667 1
< 0.1%
2663 1
< 0.1%
2447 1
< 0.1%

TS_269
Real number (ℝ)

Distinct1336
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.737180185
Minimum-4153
Maximum3190
Zeros180
Zeros (%)1.0%
Negative10052
Negative (%)54.7%
Memory size143.6 KiB
2023-01-04T23:39:56.894963image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4153
5-th percentile-185.55
Q1-58
median-10
Q353
95-th percentile267
Maximum3190
Range7343
Interquartile range (IQR)111

Descriptive statistics

Standard deviation201.7658982
Coefficient of variation (CV)23.09279354
Kurtosis45.99809414
Mean8.737180185
Median Absolute Deviation (MAD)54
Skewness0.5913243558
Sum160502
Variance40709.47766
MonotonicityNot monotonic
2023-01-04T23:39:57.167000image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
1.0%
-17 121
 
0.7%
-10 115
 
0.6%
-14 114
 
0.6%
-35 112
 
0.6%
-28 111
 
0.6%
-25 110
 
0.6%
-27 108
 
0.6%
-22 108
 
0.6%
-29 107
 
0.6%
Other values (1326) 17184
93.5%
ValueCountFrequency (%)
-4153 1
< 0.1%
-3446 1
< 0.1%
-2881 1
< 0.1%
-2640 1
< 0.1%
-2443 1
< 0.1%
ValueCountFrequency (%)
3190 1
< 0.1%
3048 1
< 0.1%
2779 1
< 0.1%
2748 1
< 0.1%
2400 1
< 0.1%

CLASS
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size143.6 KiB
N
16030 
A
2340 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 16030
87.3%
A 2340
 
12.7%

Common Values (Plot)

2023-01-04T23:39:57.475999image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/